Computational pathology: A survey review and the way forward

Computational Pathology (CPath) is an interdisciplinary science that augments developments of computational approaches to analyze and model medical histopathology images. The main objective for CPath is to develop infrastructure and workflows of digital diagnostics as an assistive CAD system for cli...

詳細記述

書誌詳細

出版年:	Journal of Pathology Informatics
主要な著者:	Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Lyndon Chan, Danial Hasan, Xingwen Li, Stephen Yang, Taehyo Kim, Haochen Zhang, Theodore Wu, Kajanan Chinniah, Sina Maghsoudlou, Ryan Zhang, Jiadai Zhu, Samir Khaki, Andrei Buin, Fatemeh Chaji, Ala Salehi, Bich Ngoc Nguyen, Dimitris Samaras, Konstantinos N. Plataniotis
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2024-12-01
主題:	Digital pathology Whole slide image (WSI) Deep learning Computer aided diagnosis (CAD) Clinical pathology Survey
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2153353923001712