{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:44Z","timestamp":1747216184265,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643685335"}],"license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,22]]},"abstract":"<jats:p>White blood cell classification plays a key role in the diagnosis of hematologic diseases. Models can perform classification either from images or based on morphological features. Image-based classification generally yields higher performance, but feature-based classification is more interpretable for clinicians. In this study, we employed a Multimodal neural network to classify white blood cells, utilizing a combination of images and morphological features. We compared this approach with image-only and feature-only training. While the highest performance was achieved with image-only training, the Multimodal model provided enhanced interpretability by the computation of SHAP values, and revealed crucial morphological features for biological characterization of the cells.<\/jats:p>","DOI":"10.3233\/shti240602","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:00:17Z","timestamp":1724407217000},"source":"Crossref","is-referenced-by-count":0,"title":["Improving Interpretability of Leucocyte Classification with Multimodal Network"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1994-8806","authenticated-orcid":false,"given":"Manon","family":"Chossegros","sequence":"first","affiliation":[{"name":"Sorbonne Universite, Inserm, Universite Sorbonne Paris-Nord, Laboratoire d\u2019Informatique Medicale et d\u2019Ingenierie des Connaissances en e-Sante, LIMICS, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2452-8868","authenticated-orcid":false,"given":"Xavier","family":"Tannier","sequence":"additional","affiliation":[{"name":"Sorbonne Universite, Inserm, Universite Sorbonne Paris-Nord, Laboratoire d\u2019Informatique Medicale et d\u2019Ingenierie des Connaissances en e-Sante, LIMICS, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5069-5256","authenticated-orcid":false,"given":"Daniel","family":"Stockholm","sequence":"additional","affiliation":[{"name":"Sorbonne Universite, Inserm, Centre de Recherche Saint-Antoine, CRSA, Paris"},{"name":"PSL Research University, EPHE, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Health and Informatics Innovations for Sustainable Health Care Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240602","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:00:18Z","timestamp":1724407218000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240602"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240602","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}