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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...

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Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2024-12-01
Serie:Journal of Pathology Informatics
Soggetti:
Digital pathology
Whole slide image (WSI)
Deep learning
Computer aided diagnosis (CAD)
Clinical pathology
Survey
Accesso online:http://www.sciencedirect.com/science/article/pii/S2153353923001712
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