Stress testing deep learning models for prostate cancer detection on biopsies and surgical specimens.
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| Title: | Stress testing deep learning models for prostate cancer detection on biopsies and surgical specimens. |
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| Authors: | Flannery BT; Case Western Reserve University, Cleveland, OH, USA., Sandler HM; Cedars-Sinai Medical Center, Los Angeles, CA, USA., Lal P; University of Pennsylvania, Philadelphia, PA, USA., Feldman MD; Indiana University, Indianapolis, IN, USA., Santa-Rosario JC; CorePlus, Carolina, Puerto Rico., Pathak T; Emory Winship Cancer Institute, Atlanta, GA, USA., Mirtti T; Emory Winship Cancer Institute, Atlanta, GA, USA., Farre X; Public Health Agency of Catalonia, Catalonia, Spain., Correa R; London Health Science Centre, London, ON, Canada., Chafe S; Cross Cancer Institute, Edmonton, AB, Canada., Shah A; WellSpan Health, York, PA, USA., Efstathiou JA; Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA., Hoffman K; The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Hallman MA; Fox Chase Cancer Center, Philadelphia, PA, USA., Straza M; Medical College of Wisconsin, Milwaukee, WI, USA., Jordan R; NRG Oncology Biospecimen Bank, San Francisco, CA, USA., Pugh SL; NRG Oncology Statistics and Data Management Center, Philadelphia, PA, USA., Feng F; University of California San Francisco, San Francisco, CA, USA., Madabhushi A; Emory Winship Cancer Institute, Atlanta, GA, USA.; Atlanta Veterans Affairs Medical Center, Atlanta, GA, USA. |
| Source: | The Journal of pathology [J Pathol] 2025 Feb; Vol. 265 (2), pp. 146-157. Date of Electronic Publication: 2024 Dec 11. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: John Wiley And Sons Country of Publication: England NLM ID: 0204634 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-9896 (Electronic) Linking ISSN: 00223417 NLM ISO Abbreviation: J Pathol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1096-9896 |
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| DOI: | 10.1002/path.6373 |
