Abstract C014: Training AI based CODA model for pathological analysis of prostate cancer across diverse demographics
Year: 2025
Type: conference-abstract
Authors: Jevon Layne, Farjana Yesmin, Isra Elhussin, Ezekiel Wamble, Huixian Lin, Ezra Baraban, Ashley Kiemen, Clayton C. Yates
Institutions: Johns Hopkins University, Johns Hopkins Medicine
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4414324588
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