A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks | Paper Citation Record

Observation 8abb9a0d-9bf5-4395-af81-8d396b76b688 · outbound

This paper cites Liew, ―DIKIW: Data, information, knowledge, Intelligence, wisdom and their interrelationships,‖ 2013.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Liew, ―DIKIW: Data, information, knowledge, Intelligence, wisdom and their interrelationships,‖ 2013

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This paper cites COVID -19 infection localization and severity grading from chest X -ray images,.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks COVID -19 infection localization and severity grading from chest X -ray images,

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This paper cites Fukushima and S.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Fukushima and S

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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This paper cites van der, & Weinberger, K.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks van der, & Weinberger, K

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This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Rethinking Atrous Convolution for Semantic Image Segmentation

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This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 11

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This paper cites C., Hagenbuchner, M., & Monfardini, G.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks C., Hagenbuchner, M., & Monfardini, G

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This paper cites Ahmedt-Aristizabal, M.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Ahmedt-Aristizabal, M

Reference 13

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 14

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This paper cites Xun et al.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Xun et al

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This paper cites N., Kaiser, L., & Polosukhin, I.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks N., Kaiser, L., & Polosukhin, I

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This paper cites Chen et al.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Chen et al

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This paper cites Shamshad et al., ―Transformers in medical imaging: A survey,‖ arXiv [eess.IV], 2022.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Shamshad et al., ―Transformers in medical imaging: A survey,‖ arXiv [eess.IV], 2022

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This paper cites Szegedy, V.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Szegedy, V

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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This paper cites Multi -scale context aggregation by dilated convolutions.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Multi -scale context aggregation by dilated convolutions

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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This paper cites O., Alghamdi, R., & Mazher, M.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks O., Alghamdi, R., & Mazher, M

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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This paper cites Qiu, ―U -Net-ASPP: U-Net based on atrous spatial pyramid pooling model for medical image segmentation in COVID -19,‖ Tamkang j.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Qiu, ―U -Net-ASPP: U-Net based on atrous spatial pyramid pooling model for medical image segmentation in COVID -19,‖ Tamkang j

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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This paper cites Xu et al., ―Show, attend and tell: Neural image caption generation with visual attention,‖ arXiv [cs.LG], pp.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Xu et al., ―Show, attend and tell: Neural image caption generation with visual attention,‖ arXiv [cs.LG], pp

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This paper cites Gu et al., ―CA -Net: Comprehensive attention convolutional Neural Networks for explainable medical image segmentation,‖ IEEE Trans.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Gu et al., ―CA -Net: Comprehensive attention convolutional Neural Networks for explainable medical image segmentation,‖ IEEE Trans

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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This paper cites Chen et al., ―An efficient memristor -based circuit implementation of squeeze-and-excitation fully convolutional neural networks,‖ IEEE Trans.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Chen et al., ―An efficient memristor -based circuit implementation of squeeze-and-excitation fully convolutional neural networks,‖ IEEE Trans

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Iantsen, D

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Zhang, Y

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks U-Net: Convolutional Networks for Biomedical Image Segmentation

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks S., Brox, T., & Ronneberger, O

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks UNet++: A Nested U-Net Architecture for Medical Image Segmentation

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Spatially Exclusive Pasting: A General Data Augmentation for the Polyp Segmentation

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Automated Design of Deep Learning Methods for Biomedical Image Segmentation

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Extending nnU-Net is all you need

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks [Online]

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks [Online]

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Olubusola Isinkaye, A

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This paper cites Azimi et al., ―Improving clas sification model performance on chest X-rays through lung segmentation,‖ arXiv [eess.IV], 2022.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Azimi et al., ―Improving clas sification model performance on chest X-rays through lung segmentation,‖ arXiv [eess.IV], 2022

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

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Reference 64

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Observation 2de07f6b-9c5c-4939-8b21-0319d379285d · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 65

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Unavailable: canonical work link unavailable.

Observation c9b5ce7c-6f7c-405b-b934-d7ef2029cb67 · outbound

This paper cites Isensee et al., ―nnU -Net: Self-adapting framework for U -Net-based medical image segmentation,‖ arXiv [cs.CV], 2018.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Isensee et al., ―nnU -Net: Self-adapting framework for U -Net-based medical image segmentation,‖ arXiv [cs.CV], 2018

Reference 66

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Unavailable: canonical work link unavailable.

Observation 51227b6b-12db-4864-b94b-bb45a8ea71e4 · outbound

This paper cites Deng et al., ―A deep learning -based approach to automatic proximal femur segmentation in quantitative CT images,‖ Med.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Deng et al., ―A deep learning -based approach to automatic proximal femur segmentation in quantitative CT images,‖ Med

Reference 67

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Observation 4c194f6a-feb0-44be-ac2d-7178fee88f1d · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 68

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Observation 52231a60-d17f-4817-b9c1-0d425ee6b437 · outbound

This paper cites Cui et al., ―A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images,‖ Nat.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Cui et al., ―A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images,‖ Nat

Reference 69

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Observation 50938b8a-de75-41a5-9670-030d9bc76f7f · outbound

This paper cites Hatamizadeh, V.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Hatamizadeh, V

Reference 70

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Observation 408c4c3d-5f7d-4866-898b-f8c7cc71e31e · outbound

This paper cites Karimi, H.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Karimi, H

Reference 71

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Unavailable: canonical work link unavailable.

Observation 33541d1d-40a7-439d-b425-3af91d8b3bb0 · outbound

This paper cites Boone et al., ―ROOD -MRI: Benchmarking the robustness of deep learning segmentation models to out -of-distribution and corrupted data in MRI,‖ arXiv [eess.IV], 2022.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Boone et al., ―ROOD -MRI: Benchmarking the robustness of deep learning segmentation models to out -of-distribution and corrupted data in MRI,‖ arXiv [eess.IV], 2022

Reference 72

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Unavailable: canonical work link unavailable.

Observation 85f191e9-e1d5-4162-88a3-255fce90f7db · outbound

This paper cites Wu et al., ―Vessel -net: Retinal vessel segmentation under multi -path supervision,‖ in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2019, pp.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Wu et al., ―Vessel -net: Retinal vessel segmentation under multi -path supervision,‖ in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2019, pp

Reference 73

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Unavailable: canonical work link unavailable.

Observation 1f8b225d-e4b3-4399-ab2d-1e5aa1f84c53 · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 74

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Unavailable: canonical work link unavailable.

Observation 845a2ad5-734d-47f2-87f0-e271474b818a · outbound

This paper cites an unresolved cited work.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 75

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Unavailable: canonical work link unavailable.

Observation bb431b44-e036-48fd-8063-42c97ae87d0b · outbound

This paper cites an unresolved cited work.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 76

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Observation 4ab14f45-c12a-4588-b66b-d9b7ad9ed304 · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 77

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Unavailable: canonical work link unavailable.

Observation b73a7769-24cb-46fa-8931-a29306392ecc · outbound

This paper cites Ma and L.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Ma and L

Reference 78

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Unavailable: canonical work link unavailable.

Observation 4ff7cac4-d04f-4019-a772-81b1cb46e72e · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 79

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Unavailable: canonical work link unavailable.

Observation 57af18f9-b3d8-4366-b072-7c8a7856c46e · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 80

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Unavailable: canonical work link unavailable.

Observation 5fa0388d-8d99-4ea7-bf5e-d056667c2f03 · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.290741Z

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Unavailable: canonical work link unavailable.

Observation d1cca53e-3620-44d9-a3be-d13bb5952858 · outbound

This paper cites Jiang, Y.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Jiang, Y

Reference 82

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Unavailable: canonical work link unavailable.

Observation 85217e39-58ac-4efd-b99b-02bdf97858a1 · outbound

This paper cites an unresolved cited work.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.301756Z

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Unavailable: canonical work link unavailable.

Observation 50f23792-345e-42e0-9e07-a2f8aa9e7178 · outbound

This paper cites Isensee, P.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Isensee, P

Reference 84

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Unavailable: canonical work link unavailable.

Observation f4de123d-f512-422e-b21b-4f9a72f98f93 · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 85

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Unavailable: canonical work link unavailable.

Observation 027e110b-ce23-42c3-ad3c-00acdcdce49d · outbound

This paper cites Mathlouthi, A.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Mathlouthi, A

Reference 86

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Unavailable: canonical work link unavailable.

Observation 6967bc97-c3b8-4808-b2a7-b504537b7f09 · outbound

This paper cites Gibson et al., ―Automatic multi -organ segmentation on abdominal CT with dense V -networks,‖ IEEE Trans.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Gibson et al., ―Automatic multi -organ segmentation on abdominal CT with dense V -networks,‖ IEEE Trans

Reference 87

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Unavailable: canonical work link unavailable.

Observation 121a9142-69b0-49fb-8c0f-690a87829f62 · outbound

This paper cites R., & Xu, D.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks R., & Xu, D

Reference 88

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Unavailable: canonical work link unavailable.

Observation f7e37860-7d70-49a0-92a9-63daa6d7f636 · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.326425Z

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Unavailable: canonical work link unavailable.

Observation be5064a9-7516-4a2f-bfdf-e2a18a3c6c65 · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 90

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Unavailable: canonical work link unavailable.

Observation 667f28aa-563d-4275-a7d7-316d298afb11 · outbound

This paper cites McInerney and D.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks McInerney and D

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.336399Z

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Unavailable: canonical work link unavailable.

Observation 43bfd089-e9df-4683-8ac0-49745c0e8bcb · outbound

This paper cites an unresolved cited work.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.340191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c89563b-abeb-4a0c-8045-6766c8c9f29a · outbound

This paper cites an unresolved cited work.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.344570Z

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Unavailable: canonical work link unavailable.

Observation 958867a5-8af1-4de5-92c0-fb3e3e77c2b8 · outbound

This paper cites an unresolved cited work.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.348331Z

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Unavailable: canonical work link unavailable.

Observation 4ce6b876-0994-4801-88ea-d1037cba8705 · outbound

This paper cites an unresolved cited work.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 95

Resolution: verified exact; doi, observed 2026-08-07T10:50:52.337247Z

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Observation 970ae35d-c5dc-44c1-8e2d-8df5d772d27c · outbound

This paper cites an unresolved cited work.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T10:50:51.358580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71af43fd-48b4-4a8f-82d7-eb3ae730d7ff · outbound

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A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Militello et al

Reference 97

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Observation 513364a1-2de8-48f3-b3b4-0ad599014eed · outbound

This paper cites Gholamiankhah, S.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Gholamiankhah, S

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.269657Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ccbd2f4-736b-4f14-a108-1deb307f8d71 · outbound

This paper cites an unresolved cited work.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:50:54.257726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 210e08d8-a5bd-47b6-8195-aa350fc5b99e · outbound

This paper cites Aganj, M.

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks Aganj, M

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:50:54.244122Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers