DeepBLS: Deep Feature-Based Broad Learning System for Tissue Phenotyping in Colorectal Cancer WSIs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s10278-023-00797-x.pdf
Reference39 articles.
1. Hyuna Sung, Jacques Ferlay, Rebecca L Siegel, Mathieu Laversanne, Isabelle Soerjomataram, Ahmedin Jemal, and Freddie Bray. Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians, 71(3):209–249, 2021.
2. Djenaba A. Joseph, Reinier G.S. Meester, Ann G. Zauber, Diane L. Manninen, Linda Winges, Fred B. Dong, Brandy Peaker, and Marjolein van Ballegooijen. Colorectal cancer screening: Estimated future colonoscopy need and current volume and capacity. Cancer, 122, 2016. ISSN 10970142. https://doi.org/10.1002/cncr.30070.
3. Martin J. Van Den Bent. Interobserver variation of the histopathological diagnosis in clinical trials on glioma: A clinician’s perspective. Acta Neuropathologica, 120, 2010. ISSN 00016322. https://doi.org/10.1007/s00401-010-0725-7.
4. Prashanth Rawla, Tagore Sunkara, and Adam Barsouk. Epidemiology of colorectal cancer: Incidence, mortality, survival, and risk factors. Przeglad Gastroenterologiczny, 14, 2019. ISSN 18974317. https://doi.org/10.5114/pg.2018.81072.
5. Min Jen Tsai, Imam Yuadi, and Yu Han Tao. Colorectal cancer tissue classification based on machine learning. 2019.
Cited by 3 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. From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images;Journal of Imaging Informatics in Medicine;2024-03-01
2. Cancer research in the United Arab Emirates from birth to present: A bibliometric analysis;Heliyon;2024-03
3. A Novel Artificial-Intelligence-Based Approach for Automatic Assessment of Retinal Disease Images Using Multi-View Deep-Broad Learning Network;IEEE Access;2024
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