Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX-Reference-Cited by-同舟云学术

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Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX

Published:2011 Issue:2 Volume:2 Page:1
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:J Pathol Inform

Author:

Madabhushi Anant,Basavanhally Ajay,Shih Natalie,Tomaszewski John,Feldman Michael,Mies Carolyn,Ganesan Shridar

Publisher

Medknow

Subject

Computer Science Applications,Health Informatics,Pathology and Forensic Medicine

Cited by 37 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. BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images;PLOS ONE;2023-04-04

3. AlexSegNet: an accurate nuclei segmentation deep learning model in microscopic images for diagnosis of cancer;Multimedia Tools and Applications;2022-12-01

4. Detecting and Classifying Nuclei Using Multi-Scale Fully Convolutional Network;Journal of Computational Biology;2022-10-01

5. A Study and Analysis of Deep Neural Networks for Cancer Using Histopathology Images;AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management;2022-06-30

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