Interpretable Multiple Instance Learning for Hematologic Diagnosis from Peripheral Blood Smears.

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Bibliographic Details
Title: Interpretable Multiple Instance Learning for Hematologic Diagnosis from Peripheral Blood Smears.
Authors: Singi S; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Sun S; Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, USA., Yin Z; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Department of Statistics, University of California Berkeley, USA., Gupta R; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Webb DC; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Department of Statistics, University of California Berkeley, USA., Bilal KH; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Dilip D; New York Medical College, Valhalla, NY., Wang L; Department of Laboratory Medicine, University of California, San Francisco, CA, USA., Kumar N; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Nanda S; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Sanchez N; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Department of Statistics, University of California Berkeley, USA., Van Cleave JG; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Fried B; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Paulsen S; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Yan ES; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Kamali A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Sarkar A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Manzo A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Baik J; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Isgor IS; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Colorado-Jimenez C; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Cardillo A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Boiocchi L; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Syed A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Kim D; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Kezlarian-Sachs B; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Fenelus M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Chan A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Yabe M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., McCash SI; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Zhu M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Mantha S; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Ardon O; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., McVoy L; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Xiao W; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Roshal M; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Lin O; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Dogan A; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Carmichael I; School of Data Science and Society; Department of Pathology and Laboratory Medicine, University of North Carolina-Chapel Hill., Vanderbilt C; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Goldgof GM; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Department of Pathology and Laboratory Medicine, Weill Cornell School of Medicine.; Halvorsen Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Source: Research square [Res Sq] 2025 Oct 31. Date of Electronic Publication: 2025 Oct 31.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101768035 Publication Model: Electronic Cited Medium: Internet ISSN: 2693-5015 (Electronic) Linking ISSN: 26935015 NLM ISO Abbreviation: Res Sq Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2693-5015
DOI:10.21203/rs.3.rs-6933141/v1