期刊
JOURNAL OF PATHOLOGY AND TRANSLATIONAL MEDICINE
卷 54, 期 2, 页码 125-134出版社
KOREAN SOC PATHOLOGISTS
DOI: 10.4132/jptm.2019.12.31
关键词
Digital pathology; Computer-aided pathology; Artificial intelligence; Deep learning
类别
资金
- Institute for Information & Communications Technology Promotion (IITP) grant - Korean government (MSIT) [2018-2-00861]
Digital pathology (DP) is no longer an unfamiliar term for pathologists, but it is still difficult for many pathologists to understand the engineering and mathematics concepts involved in DP. Computer-aided pathology (CAP) aids pathologists in diagnosis. However, some consider CAP a threat to the existence of pathologists and are skeptical of its clinical utility. Implementation of DP is very burdensome for pathologists because technical factors, impact on workflow, and information technology infrastructure must be considered. In this paper, various terms related to DP and computer-aided pathologic diagnosis are defined, current applications of DP are discussed, and various issues related to implementation of DP are outlined. The development of computer-aided pathologic diagnostic tools and their limitations are also discussed.
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