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Paper Citation Record · LEDGER

Entropy Bootstrapping for Weakly Supervised Nuclei Detection

As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2411.13528.

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pith.paper-citation-record.v1
2411.13528 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:24:19.453970Z

measured 26 of 26 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

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Outbound references

Observation e465068b-5931-463e-ba39-da12dd69b19c · outbound

This paper cites an unresolved cited work.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Unresolved cited work

Reference 1

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Observation 4e9e838c-1da0-4eff-b35d-1e00564f7d25 · outbound

This paper cites Weakly supervised multi- task learning for cell detection and segmentation.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Weakly supervised multi- task learning for cell detection and segmentation

Reference 2

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Observation 638c4f3b-3458-4119-b59e-93e6062697f4 · outbound

This paper cites The pascal visual object classes (voc) challenge.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection The pascal visual object classes (voc) challenge

Reference 3

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Observation 3f5349fe-ab5a-417f-8082-bbc7decc1db9 · outbound

This paper cites Split and merge watershed: A two-step method for cell segmentation in fluorescence microscopy images.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Split and merge watershed: A two-step method for cell segmentation in fluorescence microscopy images

Reference 4

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Observation 8a87d841-bd39-461b-af8e-aeb539642d1a · outbound

This paper cites Pannuke: an open pan- cancer histology dataset for nuclei instance segmentation and classification.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Pannuke: an open pan- cancer histology dataset for nuclei instance segmentation and classification

Reference 5

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Observation 1e29ac61-caf9-4da0-9194-b34b50fe4e7b · outbound

This paper cites Whole-cell segmentation of tissue images with human-level performance using large-scale data anno- tation and deep learning.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Whole-cell segmentation of tissue images with human-level performance using large-scale data anno- tation and deep learning

Reference 6

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Observation 79794815-3f6a-45b7-a51e-ff404f5ded5e · outbound

This paper cites Deep Residual Learning for Image Recognition.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Deep Residual Learning for Image Recognition

Reference 7

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Observation c8e0a521-ced7-4955-afc3-c7507ad275d6 · outbound

This paper cites Mask r-cnn.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Mask r-cnn

Reference 8

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This paper cites Histopathology of prostate cancer.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Histopathology of prostate cancer

Reference 9

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This paper cites Limits of applicability of the voronoi tessellation determined by centers of cell nuclei to epithe- lium morphology.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Limits of applicability of the voronoi tessellation determined by centers of cell nuclei to epithe- lium morphology

Reference 10

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Observation 3e75a535-a2e2-4275-a6ad-37b2cf635e35 · outbound

This paper cites Smart mark- ers for watershed-based cell segmentation.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Smart mark- ers for watershed-based cell segmentation

Reference 11

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Observation fa0c74e4-acf7-4b26-85ab-a4530652fb21 · outbound

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

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 12

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Observation a4cdf783-1e32-46b3-9688-0af587e2c7ac · outbound

This paper cites Uncertainty-aware deep learning in healthcare: a scoping review.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Uncertainty-aware deep learning in healthcare: a scoping review

Reference 13

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This paper cites Decoupled Weight Decay Regularization.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Decoupled Weight Decay Regularization

Reference 14

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Observation 5d326b25-05eb-4886-aad7-928de8c2a36e · outbound

This paper cites Sig- nificance of nuclear morphometry in benign and malignant breast aspirates.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Sig- nificance of nuclear morphometry in benign and malignant breast aspirates

Reference 15

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Observation be580d57-ed32-4ed2-9457-df8dd7e1c59e · outbound

This paper cites Weakly supervised cell instance segmentation by propagat- ing from detection response.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Weakly supervised cell instance segmentation by propagat- ing from detection response

Reference 16

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This paper cites Weakly super- vised deep nuclei segmentation using partial points annota- tion in histopathology images.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Weakly super- vised deep nuclei segmentation using partial points annota- tion in histopathology images

Reference 17

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This paper cites Automated training of deep convolutional neural networks for cell segmentation.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Automated training of deep convolutional neural networks for cell segmentation

Reference 18

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This paper cites Weakly-supervised nucleus segmentation based on point an- notations: A coarse-to-fine self-stimulated learning strat- egy.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Weakly-supervised nucleus segmentation based on point an- notations: A coarse-to-fine self-stimulated learning strat- egy

Reference 19

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This paper cites Breast cancer histopathology image analysis: A review.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Breast cancer histopathology image analysis: A review

Reference 20

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This paper cites A delaunay triangulation approach for segmenting clumps of nuclei.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection A delaunay triangulation approach for segmenting clumps of nuclei

Reference 21

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This paper cites An automatic learning-based framework for robust nucleus segmentation.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection An automatic learning-based framework for robust nucleus segmentation

Reference 22

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This paper cites Evolving generalized voronoi diagrams for accurate cellular image segmentation.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Evolving generalized voronoi diagrams for accurate cellular image segmentation

Reference 23

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Entropy Bootstrapping for Weakly Supervised Nuclei Detection Weakly supervised cell segmentation by point annotation

Reference 24

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This paper cites Our labeling approach is such that we accurately label all the background pixels.

Entropy Bootstrapping for Weakly Supervised Nuclei Detection Our labeling approach is such that we accurately label all the background pixels

Reference 25

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Entropy Bootstrapping for Weakly Supervised Nuclei Detection weakening

Reference 26

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