PatchSorter: a high throughput deep learning digital pathology tool for object labeling.

Autor: Walker C; Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland.; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland., Talawalla T; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA., Toth R; Toth Technology LLC, Toth Technology LLC, New Brunswick, NJ, USA., Ambekar A; Department of Pathology, Division of AI & Computational Pathology, Duke University, Durham, NC, USA.; AI Health, Duke University, Durham, NC, USA., Rea K; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA., Chamian O; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA., Fan F; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA., Berezowska S; Institute of Pathology, Lausanne University Hospital, Lausanne, Switzerland., Rottenberg S; Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland.; Bern Center for Precision Medicine, University of Bern, Bern, Switzerland., Madabhushi A; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA.; Atlanta Veterans Medical Center, Atlanta, GA, USA., Maillard M; Institute of Pathology, Lausanne University Hospital, Lausanne, Switzerland., Barisoni L; Department of Pathology, Division of AI & Computational Pathology, Duke University, Durham, NC, USA.; Department of Medicine, Division of Nephrology, Duke University, Durham, NC, USA., Horlings HM; Department of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands., Janowczyk A; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA. andrew.r.janowczyk@emory.edu.; Department of Oncology, Division of Precision Oncology, Geneva University Hospitals, Geneva, Switzerland. andrew.r.janowczyk@emory.edu.; Department of Diagnostics, Division of Clinical Pathology, Geneva University Hospitals, Geneva, Switzerland. andrew.r.janowczyk@emory.edu.
Jazyk: angličtina
Zdroj: NPJ digital medicine [NPJ Digit Med] 2024 Jun 20; Vol. 7 (1), pp. 164. Date of Electronic Publication: 2024 Jun 20.
DOI: 10.1038/s41746-024-01150-4
Abstrakt: The discovery of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images often requires intractable labeling of large quantities of histological objects. Here we release an open-source labeling tool, PatchSorter, which integrates deep learning with an intuitive web interface. Using >100,000 objects, we demonstrate a >7x improvement in labels per second over unaided labeling, with minimal impact on labeling accuracy, thus enabling high-throughput labeling of large datasets.
(© 2024. The Author(s).)
Databáze: MEDLINE
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