Breast cancer pathological image classification based on deep learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Breast cancer pathological image classification based on deep learning

Published:2020-08-01 Issue:4 Volume:28 Page:727-738
ISSN:0895-3996
Container-title:Journal of X-Ray Science and Technology
language:
Short-container-title:XST

Author:

Hou Yubao¹

Affiliation:

1. School of Information and Mechanical Engineering, Hunan International Economics University, Changsha, China

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

Reference22 articles.

1. A fast learning algorithm for deep belief netsi;Hinton;Neural Computation,2006

2. Cirrhosis recognition by deep learning model Goolge Net-PNN;Ju;Computer Engineering and Applications,2019

3. Deep learning in medical ultrasound analysis:;Liu;A Review Engineering,2019

4. Research and application of deep learning in laboratory medicine;Yan;Chinese Journal of Laboratory Medicine,2019

5. Research progress on deep learning-based medical image segmentation;Gong;Chinese Journal of Medical Physics,2019

Cited by 29 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. Advancing Breast Cancer Detection with Convolutional Neural Networks: A Comparative Analysis of MIAS and DDSM Datasets;2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP);2024-07-11

3. Design of integrated interactive system for pre-diagnosis of breast cancer pathological images based on CNN and PyQt5;Multimedia Systems;2024-03-27

4. Deep Convolutional Neural Networks with Augmentation for Chest X-Ray Classification;International Journal of Data Science and Analysis;2024-03-19

5. Multi-Branch Spectral Channel Attention Network for Breast Cancer Histopathology Image Classification;Electronics;2024-01-22

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