{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T22:21:23Z","timestamp":1791498083738,"version":"4.3.4"},"reference-count":42,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"IMAGENE AI LTD"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancers"],"abstract":"<jats:p>Deep learning applications are emerging as promising new tools that can support the diagnosis and classification of different cancer types. While such solutions hold great potential for hematological malignancies, there have been limited studies describing the use of such applications in this field. The rapid diagnosis of double\/triple-hit lymphomas (DHLs\/THLs) involving MYC, BCL2 and\/or BCL6 rearrangements is obligatory for optimal patient care. Here, we present a novel deep learning tool for diagnosing DHLs\/THLs directly from scanned images of biopsy slides. A total of 57 biopsies, including 32 in a training set (including five DH lymphoma cases) and 25 in a validation set (including 10 DH\/TH cases), were included. The DHL-classifier demonstrated a sensitivity of 100%, a specificity of 87% and an AUC of 0.95, with only two false positive cases, compared to FISH. The DHL-classifier showed a 92% predictive value as a screening tool for performing conventional FISH analysis, over-performing currently used criteria. The work presented here provides the proof of concept for the potential use of an AI tool for the identification of DH\/TH events. However, more extensive follow-up studies are required to assess the robustness of this tool and achieve high performances in a diverse population.<\/jats:p>","DOI":"10.3390\/cancers15215205","type":"journal-article","created":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T13:20:07Z","timestamp":1698672007000},"page":"5205","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Image-Based Deep Learning Detection of High-Grade B-Cell Lymphomas Directly from Hematoxylin and Eosin Images"],"prefix":"10.3390","volume":"15","author":[{"given":"Chava","family":"Perry","sequence":"first","affiliation":[{"name":"Hematology Division, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel"},{"name":"Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Orli","family":"Greenberg","sequence":"additional","affiliation":[{"name":"Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel"},{"name":"Pathology Department, Tel Aviv Sourasky Medical Center, Tel Aviv 6492601, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shira","family":"Haberman","sequence":"additional","affiliation":[{"name":"Hematology Division, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel"},{"name":"Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neta","family":"Herskovitz","sequence":"additional","affiliation":[{"name":"Hematology Division, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Inbal","family":"Gazy","sequence":"additional","affiliation":[{"name":"Imagene AI Ltd., Tel Aviv 6721409, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Assaf","family":"Avinoam","sequence":"additional","affiliation":[{"name":"Imagene AI Ltd., Tel Aviv 6721409, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nurit","family":"Paz-Yaacov","sequence":"additional","affiliation":[{"name":"Imagene AI Ltd., Tel Aviv 6721409, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7954-4486","authenticated-orcid":false,"given":"Dov","family":"Hershkovitz","sequence":"additional","affiliation":[{"name":"Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel"},{"name":"Pathology Department, Tel Aviv Sourasky Medical Center, Tel Aviv 6492601, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irit","family":"Avivi","sequence":"additional","affiliation":[{"name":"Hematology Division, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel"},{"name":"Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1038\/35000501","article-title":"Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling","volume":"403","author":"Alizadeh","year":"2000","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1937","DOI":"10.1056\/NEJMoa012914","article-title":"The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma","volume":"346","author":"Rosenwald","year":"2002","journal-title":"N. 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