Enhancing foundation model transfer for prostate cancer detection with patch-level contrastive learning
Jeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish, Indrani Bhattacharya, Sulaiman Vesal, Yuze Song, Lichun Zhang, Shengtian Sang, Moon Hyung Choi, Simon John Christoph Soerensen, Steve Ran Zhou, Elijah Richard Sommer, Tyler M. Seibert, Richard Fan, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rus · 2026
Read Enhancing foundation model transfer for prostate cancer detection with patch-level contrastive learning by Jeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish, Indrani Bhattacharya, Sulaiman Vesal, Yuze Song, Lichun Zhang, Shengtian Sang, Moon Hyung Choi, Simon John Christoph Soerensen, Steve Ran Zhou, Elijah Richard Sommer, Tyler M. Seibert, Richard Fan, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rus (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13562539.txt.
Description
Jeong Hoon Lee and colleagues built an artificial intelligence tool, ProViCNet, to spot prostate cancer on magnetic resonance imaging scans. Prostate MRI is hard to read because cancers can look subtle, readers disagree, and many suspicious spots turn out harmless on biopsy. Trained and tested on 4,401 patients across six groups, the model learns from small image patches rather than whole scans.
Across internal and external tests, the model scored between 0.875 and 0.966 on a standard accuracy scale, and it beat expert readers head to head. Combined with the blood marker PSA, it kept catching serious cancers while more than doubling specificity, which could spare men needless biopsies. The authors present it as support for screening, biopsy targeting, and treatment planning, not a replacement for clinicians.
Catalog record
| CREATOR | Jeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish, Indrani Bhattacharya, Sulaiman Vesal, Yuze Song, Lichun Zhang, Shengtian Sang, Moon Hyung Choi, Simon John Christoph Soerensen, Steve Ran Zhou, Elijah Richard Sommer, Tyler M. Seibert, Richard Fan, Pejman Ghanouni, Geoffrey A. Sonn, Mirabela Rus |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 69 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |