Computational pathology: A survey review and the way forward

• Main Authors: Mahdi S. Hosseini (Author), Babak Ehteshami Bejnordi (Author), Vincent Quoc-Huy Trinh (Author), Lyndon Chan (Author), Danial Hasan (Author), Xingwen Li (Author), Stephen Yang (Author), Taehyo Kim (Author), Haochen Zhang (Author), Theodore Wu (Author), Kajanan Chinniah (Author), Sina Maghsoudlou (Author), Ryan Zhang (Author), Jiadai Zhu (Author), Samir Khaki (Author), Andrei Buin (Author), Fatemeh Chaji (Author), Ala Salehi (Author), Bich Ngoc Nguyen (Author), Dimitris Samaras (Author), Konstantinos N. Plataniotis (Author)
• Format: Book
• Published: Elsevier, 2024-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...