Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN-Reference-Cited by-同舟云学术

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Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN

Published:2020 Issue: Volume:8 Page:213502-213511
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Das Kausik^ORCID,Conjeti Sailesh,Chatterjee Jyotirmoy,Sheet Debdoot^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09269335.pdf?arnumber=9269335

Cited by 42 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

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2. Deep learning for liver cancer histopathology image analysis: A comprehensive survey;Engineering Applications of Artificial Intelligence;2024-07

3. MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images;Artificial Intelligence in Medicine;2024-06

4. Hybrid machine learning‐based breast cancer segmentation framework using ultrasound images with optimal weighted features;Cell Biochemistry and Function;2024-05-23

5. HSG-MGAF Net: Heterogeneous subgraph-guided multiscale graph attention fusion network for interpretable prediction of whole-slide image;Computer Methods and Programs in Biomedicine;2024-04

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