학술논문
Guest Editorial Open and Interpretable AI in Computational Pathology
Document Type
Periodical
Author
Source
IEEE Journal of Biomedical and Health Informatics IEEE J. Biomed. Health Inform. Biomedical and Health Informatics, IEEE Journal of. 27(4):1657-1660 Apr, 2023
Subject
Language
ISSN
2168-2194
2168-2208
2168-2208
Abstract
The thirteen papers in this special issue focus on open and interoperable artificial intelligence (AI) in computational pathology. Recent years have seen exponential advances in the quality of AI techniques in the medical filed. Particularly, AI/ML tools have been widely exploited pathological image analysis to examine and assess the function of human organs and/or to provide trustworthy prediction of diseases.