Artificial intelligence algorithm for neoplastic cell percentage estimation and its application to copy number variation in urinary tract cancer
These results suggest that AI models could assist human pathologists in repetitive and cumbersome NCP calculations.
Authors
- Yong il Lee (ORCID: https://orcid.org/0009-0007-6126-9512)
- Sun Young Yoon
- Yong Mee Cho (ORCID: https://orcid.org/0000-0001-8766-2602)
- Se Un Jeong (ORCID: https://orcid.org/0000-0001-8399-5792)
- Ja-Min Park (ORCID: https://orcid.org/0000-0002-4799-1599)
- Deokhoon Kim (ORCID: https://orcid.org/0000-0002-3597-1048)
- J. Jeong (ORCID: https://orcid.org/0000-0002-0461-1904)
- Bokyung Ahn (ORCID: https://orcid.org/0000-0002-0229-2276)
- Sang‐Yeob Kim
- Gi Hwan Kim (ORCID: https://orcid.org/0000-0001-6228-764X)
- Hyun-Jung Sung (ORCID: https://orcid.org/0000-0002-8791-5945)
- Yeon-Mi Ryu
Institutions
- Ulsan College (KR)
- Asan Medical Center (KR)
- University of Ulsan (KR)
Publication Details
- Journal
- Journal of Pathology and Translational Medicine
- Published
- 2024-08-08
- DOI
- https://doi.org/10.4132/jptm.2024.07.13
- Citations
- 2
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- Ministry of Science, ICT and Future Planning
- Asan Institute for Life Sciences, Asan Medical Center