Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1007/s10278-019-00295-z.pdf
Reference76 articles.
1. Aksac A, Demetrick DJ, Ozyer T, Alhajj R (2019) BrecaHAD: A dataset for breast cancer histopathological annotation and diagnosis. BMC Research Notes 12(1). https://doi.org/10.1186/s13104-019-4121-7
2. Alom MZ, Yakopcic C, Nasrin MS, Taha TM, Asari VK (2019) Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network. Journal of Digital Imaging. https://doi.org/10.1007/s10278-019-00182-7
3. Araújo T, Aresta G, Castro E, Rouco J, Aguiar P, Eloy C, Polónia A, Campilho A Classification of breast cancer histology images using convolutional neural networks. PloS one 12(6), 2017
4. Bardou D, Zhang K, Ahmad SM: Classification of breast cancer based on histology images using convolutional neural networks. IEEE Access 6: 24,680–24,693, 2018
5. Basavanhally A, Ganesan S, Feldman M, Shih N, Mies C, Tomaszewski J, Madabhushi A: Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides. IEEE Transactions on Biomedical Engineering 60 (8): 2089–2099, 2013. https://doi.org/10.1109/TBME.2013.2245129
Cited by 66 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. Advancing histopathology in Health 4.0: Enhanced cell nuclei detection using deep learning and analytic classifiers;Computer Standards & Interfaces;2025-01
2. A comprehensive review of tubule formation in histopathology images: advancement in tubule and tumor detection techniques;Artificial Intelligence Review;2024-09-11
3. Adaptive magnification network for precise tumor analysis in histopathological images;Computers in Human Behavior;2024-07
4. Computer-Assisted Histopathological Calculation Analysis of the Sciatic Nerve of Diabetic Neuropathy Rat Model;Borneo Journal of Pharmacy;2024-05-30
5. Deep learning approaches for breast cancer detection in histopathology images: A review;Cancer Biomarkers;2024-05-28
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3