Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing | Paper Citation Record

Observation 8f3ca79e-8947-4d48-b66f-d7e56a33b4ca · outbound

This paper cites Impact of artificial intelligence on healthcare: A review of current applications and future possibilities,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Impact of artificial intelligence on healthcare: A review of current applications and future possibilities,

Reference 1

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This paper cites Artificial intelligence and machine learning: What you always wanted to know but were afraid to ask,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Artificial intelligence and machine learning: What you always wanted to know but were afraid to ask,

Reference 2

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This paper cites Addressing burnout in radiologists,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Addressing burnout in radiologists,

Reference 3

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This paper cites Physician burnout statistics 2024: The latest changes and trends in physician burnout by specialty,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Physician burnout statistics 2024: The latest changes and trends in physician burnout by specialty,

Reference 4

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This paper cites Machine learning augmented interpretation of chest x-rays: A systematic review,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Machine learning augmented interpretation of chest x-rays: A systematic review,

Reference 5

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This paper cites X-ray: Imaging test quickly helps find diagnosis,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing X-ray: Imaging test quickly helps find diagnosis,

Reference 6

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This paper cites Radgraph dataset and chexpert results,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Radgraph dataset and chexpert results,

Reference 7

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Observation 768b5c2e-d0d0-4ce0-b569-387176b43362 · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,

Reference 8

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Observation a5e9ab50-3a75-4dca-ac6a-bcad5fc0efb1 · outbound

This paper cites medspacy: A library for clinical natural language processing with spacy,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing medspacy: A library for clinical natural language processing with spacy,

Reference 9

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This paper cites spacy: Industrial-strength natural language processing in python,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing spacy: Industrial-strength natural language processing in python,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.864533Z

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Observation 3f1a413f-0eb6-4be5-aca5-3a3273ce4c90 · outbound

This paper cites Extracting relations in radiology reports using dependency parsing and nlp techniques,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Extracting relations in radiology reports using dependency parsing and nlp techniques,

Reference 12

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Observation a94371b8-c9c9-4f89-8a96-2e84626ecf23 · outbound

This paper cites Neural architectures for named entity recognition,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Neural architectures for named entity recognition,

Reference 13

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Observation 3538b15f-0a45-40e5-b3d2-d1b429a4599a · outbound

This paper cites Multimodal deep learning,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Multimodal deep learning,

Reference 14

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Observation 30a6df43-face-4637-8d93-17e5c4f3371d · outbound

This paper cites CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Reference 15

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This paper cites ImageNet Large Scale Visual Recognition Challenge.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing ImageNet Large Scale Visual Recognition Challenge

Reference 17

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This paper cites A short proof that $O_2$ is an MCFL.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing A short proof that $O_2$ is an MCFL

Reference 19

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Observation 63f61d8e-3a71-4ede-b921-b35d07b8ce55 · outbound

This paper cites Learning from imbalanced data,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Learning from imbalanced data,

Reference 20

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

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

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This paper cites Going Deeper with Convolutions.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Going Deeper with Convolutions

Reference 22

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This paper cites Deep learning,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Deep learning,

Reference 24

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This paper cites A Comprehensive Survey on Transfer Learning.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing A Comprehensive Survey on Transfer Learning

Reference 25

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This paper cites Imagenet: A large-scale hierarchical image database,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Imagenet: A large-scale hierarchical image database,

Reference 26

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 27

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This paper cites Torchvision the machine-vision package of torch,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Torchvision the machine-vision package of torch,

Reference 28

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This paper cites A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification

Reference 29

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This paper cites An introduction to roc analysis,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing An introduction to roc analysis,

Reference 30

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This paper cites A comparison of confusion matrix- based evaluation metrics for multi-class classification problems,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing A comparison of confusion matrix- based evaluation metrics for multi-class classification problems,

Reference 31

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This paper cites Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Reference 32

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This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 33

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This paper cites Learning important features through propagating activation differences,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Learning important features through propagating activation differences,

Reference 34

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This paper cites Network In Network.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Network In Network

Reference 35

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This paper cites Learning Important Features Through Propagating Activation Differences.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Learning Important Features Through Propagating Activation Differences

Reference 36

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Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 37

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This paper cites ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

Reference 38

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This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 39

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 40

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This paper cites Clinicalbert: Modeling clinical notes and predicting hospital readmission,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Clinicalbert: Modeling clinical notes and predicting hospital readmission,

Reference 41

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This paper cites Biobert: a pre-trained biomedical language representation model for biomedical text mining,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Biobert: a pre-trained biomedical language representation model for biomedical text mining,

Reference 42

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Observation 0eb36685-c191-4c91-bea2-e36c3d5e27dc · outbound

This paper cites Class Balancing GAN with a Classifier in the Loop.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Class Balancing GAN with a Classifier in the Loop

Reference 43

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Observation f42b609d-93ea-43fb-927f-3378a2da42ac · outbound

This paper cites Smote: Synthetic minority over-sampling technique,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Smote: Synthetic minority over-sampling technique,

Reference 44

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Observation 8c18a693-9cd3-4a05-ac25-874b0eb7044b · outbound

This paper cites Radgraph: Extracting clinical entities and relations from radiology reports,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Radgraph: Extracting clinical entities and relations from radiology reports,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.537550Z

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Observation f42a3bd3-18db-4e94-9ac7-3ee27847f39c · outbound

This paper cites Zhang and Z.-H.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Zhang and Z.-H

Reference 46

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Observation 55eb411a-13ed-4ab9-9c6b-3df67b791e19 · outbound

This paper cites A comprehensive survey on imbalanced data handling in machine learning,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing A comprehensive survey on imbalanced data handling in machine learning,

Reference 47

Resolution: verified exact; raw_fallback, observed 2026-08-11T15:00:07.483477Z

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Observation 254f7872-334d-456d-abac-da64220487b2 · outbound

This paper cites Modeling the shape of the scene: A holistic representation of the spatial envelope,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Modeling the shape of the scene: A holistic representation of the spatial envelope,

Reference 48

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This paper cites Adam: A Method for Stochastic Optimization.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Adam: A Method for Stochastic Optimization

Reference 49

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This paper cites Early stopping—but when?.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Early stopping—but when?

Reference 50

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Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Unresolved cited work

Reference 51

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Observation 6b2b52cb-5710-42d3-b743-be11dfba584f · outbound

This paper cites The meaning and use of the area under a receiver operating characteristic (roc) curve,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing The meaning and use of the area under a receiver operating characteristic (roc) curve,

Reference 52

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This paper cites Imagenet classification with deep convolutional neural networks,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Imagenet classification with deep convolutional neural networks,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.490366Z

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Observation cc33c5b8-5798-4719-8769-130f81cd6269 · outbound

This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Reference 54

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This paper cites Human-centric vision: A robust approach for multi-scale object detection,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Human-centric vision: A robust approach for multi-scale object detection,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.462317Z

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Observation 103c848f-d563-4b77-a8ca-ed8485bee592 · outbound

This paper cites Xception: Deep Learning with Depthwise Separable Convolutions.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Xception: Deep Learning with Depthwise Separable Convolutions

Reference 56

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This paper cites Focal Loss for Dense Object Detection.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Focal Loss for Dense Object Detection

Reference 57

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Observation d403be8f-f1a1-450d-9085-e0327b5ee719 · outbound

This paper cites Fully Convolutional Networks for Semantic Segmentation.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Fully Convolutional Networks for Semantic Segmentation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:06.802187Z

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Observation bcfcc151-56a2-4b1a-bcf2-949a50ff8438 · outbound

This paper cites Recurrent Control Nets for Deep Reinforcement Learning.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Recurrent Control Nets for Deep Reinforcement Learning

Reference 59

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Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Rethinking the inception architecture for computer vision,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.441230Z

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Observation 8bb90a51-1eb4-4896-a7eb-ea8fb35c22c9 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Dermatologist-level classification of skin cancer with deep neural networks,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.385002Z

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Observation 2991dbe7-98dd-4663-9661-14e0884e4af2 · outbound

This paper cites Intelligent systems in medicine,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Intelligent systems in medicine,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.407906Z

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Observation ae71c42a-7c10-4dd4-9717-824f42035bce · outbound

This paper cites Natural lan- guage processing: from bedside to everywhere,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Natural lan- guage processing: from bedside to everywhere,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.331791Z

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This paper cites An ai eye on chest x-rays,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing An ai eye on chest x-rays,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.361596Z

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Observation 61f7b9b4-d4c2-4f96-97a6-dfebfaddf092 · outbound

This paper cites A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:00:07.123836Z

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Observation 24f5cb4e-0cf7-4f52-9acb-7fcb5ef50f1c · outbound

This paper cites Artificial intelligence methods in natural language processing: A comprehensive review,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Artificial intelligence methods in natural language processing: A comprehensive review,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.298502Z

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Observation 9a3a996b-636a-4eea-8999-8bff41124732 · outbound

This paper cites Understanding of convolutional neural network (cnn): A review,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Understanding of convolutional neural network (cnn): A review,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.260719Z

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This paper cites An Introduction to Convolutional Neural Networks.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing An Introduction to Convolutional Neural Networks

Reference 68

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This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 69

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This paper cites Con- volutional neural networks: an overview and application in radiology,.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Con- volutional neural networks: an overview and application in radiology,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:08.230950Z

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Observation 10d96f6f-2ef0-446f-9bdf-31d51bf271bf · outbound

This paper cites Densely Connected Convolutional Networks.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Densely Connected Convolutional Networks

Reference 71

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Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Deep Residual Learning for Image Recognition

Reference 72

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This paper cites Searching for MobileNetV3.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Searching for MobileNetV3

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:06.904611Z

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This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 74

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This paper cites A ConvNet for the 2020s.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing A ConvNet for the 2020s

Reference 76

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This paper cites Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:06.648427Z

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