Developing image analysis methods for digital pathology-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Developing image analysis methods for digital pathology

Published:2022-05-23 Issue:4 Volume:257 Page:391-402
ISSN:0022-3417
Container-title:The Journal of Pathology
language:en
Short-container-title:The Journal of Pathology

Author:

Bankhead Peter¹²³^ORCID

Affiliation:

1. Edinburgh Pathology, Institute of Genetics and Cancer University of Edinburgh Edinburgh UK

2. Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer University of Edinburgh Edinburgh UK

3. Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer University of Edinburgh Edinburgh UK

Publisher

Wiley

Subject

Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/path.5921

Reference107 articles.

1. Deep learning in histopathology: the path to the clinic;Laak J;Nat Med,2021

2. Deep neural network models for computational histopathology: a survey;Srinidhi CL;Med Image Anal,2021

3. Artificial intelligence and computational pathology;Cui M;Lab Invest,2021

4. Translational AI and deep learning in diagnostic pathology;Serag A;Front Med (Lausanne),2019

5. Current and future applications of artificial intelligence in pathology: a clinical perspective;Rakha EA;J Clin Pathol,2021

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. Digital Pathology in Healthcare: Current Trends and Future Perspective;International Journal of Online and Biomedical Engineering (iJOE);2024-06-20

2. Analysis of gene and protein expression in the endometrium for validation of an ex vivo model of the equine uterus using PCR, digital and visual histopathology;Theriogenology;2024-06

3. Area of residual tumor measurement after preoperative chemotherapy as an objective and quantitative method for predicting prognosis of gastric cancer: a single-center retrospective study;2024-03-15

4. Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study;Heliyon;2024-03

5. Digital Technology Ecotone to Revolutionize Health Sector;SSRN Electronic Journal;2024

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