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Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty

  • Published:2021 Issue: Volume: Page:1-1
  • ISSN:0278-0062
  • Container-title:IEEE Transactions on Medical Imaging
  • language:
  • Short-container-title:IEEE Trans. Med. Imaging

Author:

Belharbi Soufiane,Rony Jerome,Dolz Jose,Ayed Ismail Ben,McCaffrey Luke,Granger Eric

Funder

Canadian Institutes of Health Research

Natural Sciences and Engineering Research Council of Canada

Compute Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-Scale Fusion Transformer for Histopathological Image Classification;IEEE Journal of Biomedical and Health Informatics;2024-01

2. Computational Pathology: A Survey Review and The Way Forward;Journal of Pathology Informatics;2024-01

3. SWT-UNet: Medical Image Segmentation Based on Multi-modality UNet with Sliding Window Transformer Block;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

4. Cluster-Re-Supervision: Bridging the Gap Between Image-Level and Pixel-Wise Labels for Weakly Supervised Medical Image Segmentation;IEEE Journal of Biomedical and Health Informatics;2023-10

5. A Weakly Supervised Brain Tumor Segmentation Strategy Based on Multi- level Sub-category and Membership Matrix;Current Medical Imaging Formerly Current Medical Imaging Reviews;2023-09
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