A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A new transfer learning based approach to magnification dependent and independent classification of breast cancer in histopathological images

Published:2021-01 Issue: Volume:63 Page:102192
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Boumaraf Said^ORCID,Liu Xiabi,Zheng Zhongshu,Ma Xiaohong,Ferkous Chokri

Funder

Beijing Municipal Science and Technology Project

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference30 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J. Clin.,2018

2. Breast Cancer Statistics. https://www.cancer.org/cancer/breast-cancer/about/how-common-is-breast-cancer.html. (Accessed 4 November 2019).

3. WHO Position Paper on Mammography Screening;W. H. Organization and others,2014

4. A dataset for breast cancer Histopathological image classification;Spanhol;IEEE Trans. Biomed. Eng.,2016

5. Breast Cancer Diagnosis From Biopsy Images Using Generic Features and SVMs;Brook,2008

Cited by 104 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. Classify breast cancer pathological tissue images using multi-scale bar convolution pooling structure with patch attention;Biomedical Signal Processing and Control;2024-10

2. Breast cancer histopathology image classification using an ensemble of optimized pretrained models with a trainable ensemble strategy classifier;Research on Biomedical Engineering;2024-07-31

3. Attention-Based Deep Learning Approach for Breast Cancer Histopathological Image Multi-Classification;Diagnostics;2024-07-01

4. Magnification Independent Breast Cancer Analysis Using Vision Transformer;Multimedia Tools and Applications;2024-07-01

5. Stochastic Class‐Attention Net to Detect the Breast Carcinoma Subtypes With Test Time Augmentation;International Journal of Imaging Systems and Technology;2024-06-24

同舟云学术

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