Introduction to digital pathology and computer-aided pathology.

Artificial intelligence Computer-aided pathology Deep learning Digital pathology

Journal

Journal of pathology and translational medicine
ISSN: 2383-7837
Titre abrégé: J Pathol Transl Med
Pays: Korea (South)
ID NLM: 101650151

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 24 12 2019
accepted: 31 12 2019
pubmed: 13 2 2020
medline: 13 2 2020
entrez: 13 2 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32045965
pii: jptm.2019.12.31
doi: 10.4132/jptm.2019.12.31
pmc: PMC7093286
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

125-134

Subventions

Organisme : Institute for Information and Communications Technology Promotion
Organisme : Ministry of Science and ICT
ID : 2018-2-00861

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Auteurs

Soojeong Nam (S)

Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Yosep Chong (Y)

Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Chan Kwon Jung (CK)

Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Tae-Yeong Kwak (TY)

Deep Bio Inc., Seoul, Korea.

Ji Youl Lee (JY)

Department of Urology, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Jihwan Park (J)

Catholic Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Mi Jung Rho (MJ)

Catholic Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Heounjeong Go (H)

Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Classifications MeSH