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Introduction to digital pathology and computer-aided pathology

Journal of Pathology and Translational Medicine 2020년 54권 2호 p.125 ~ 134
Nam Soo-Jeong, 정요셉, 정찬권, Kwak Tae-Yeong, 이지열, Park Ji-Hwan, 노미정, Go Heoun-Jeong,
소속 상세정보
 ( Nam Soo-Jeong ) - University of Ulsan College of Medicine Asan Medical Center Department of Pathology
정요셉 ( Chong Yo-Sep ) - Catholic University College of Medicine Department of Hospital Pathology
정찬권 ( Jung Chan-Kwon ) - Catholic University College of Medicine Department of Hospital Pathology
 ( Kwak Tae-Yeong ) - Deep Bio Inc.
이지열 ( Lee Ji-Youl ) - Catholic University College of Medicine Department of Urology
 ( Park Ji-Hwan ) - Catholic University College of Medicine Catholic Cancer Research Institute
노미정 ( Rho Mi-Jung ) - Catholic University College of Medicine Catholic Cancer Research Institute
 ( Go Heoun-Jeong ) - University of Ulsan College of Medicine Asan Medical Center Department of Pathology

Abstract


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.

키워드

Digital pathology; Computer-aided pathology; Artificial intelligence; Deep learning

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