CAREMIL: Interpretable Multiple Instance Learning for Hematologic Diagnosis

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Siddharth Singi, Shenghuan Sun, Zhanghan Yin, Riya Gupta, Dylan C. Webb, Khawaja H. Bilal, Deepika Dilip, Linlin Wang, Neeraj Kumar, Swaraj Nanda, Nicolas Sanchez, Jacob G. Van Cleave
+29 more Brenda Fried, Sean Paulsen, Ethan S. Yan, Ali Kamali, Argho Sarkar, Allyne Manzo, Jeeyeon Baik, İrem Şahver İşgör, Cesar Colorado-Jimenez, Anthony Cardillo, Leonardo Boiocchi, Aijazuddin Syed, David Kim, Brie E. Kezlarian-Sachs, Maly Fenelus, Alexander Chan, Mariko YABE, Samuel I. McCash, Menglei Zhu, Simon Mantha, Orly Ardon, Lauren McVoy, Wenbin Xiao, Mikhail Roshal, Oscar Lin, Ahmet Doǧan, Iain Carmichael, Chad Vanderbilt, Gregory Mark Goldgof
DOI: 10.5281/zenodo.18784188
Cited by: 0

Abstract

Implementation for "Interpretable Multiple Instance Learning for Hematologic Diagnosis from Peripheral Blood Smears" submitted at Nature Communications Medicine. v1.0

Fields of Study & Subjects

Digital Imaging for Blood Diseases Hematological disorders and diagnostics Artificial Intelligence in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN