{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:36:15Z","timestamp":1779402975940,"version":"3.53.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686615","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:00:00Z","timestamp":1779321600000},"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":[[2026,5,21]]},"abstract":"<jats:p>This paper presents a novel multimodal fusion-based framework for colorectal cancer (CRC) survival prediction, integrating whole-slide images (WSIs) with clinical and biomarker data. The framework combines the ProvGigaPath model for WSI feature extraction and the TabTransformer for tabular data representation. Two fusion strategies were explored: contrastive learning (CL) on limited data and cross-attention (CA) for intermediate-level integration. Experiments on the Molecular and Cellular Oncology (MCO) dataset showed that CL achieves AUROCs of 0.82 (tabular) and 0.73 (image), while CA-based multimodal fusion attains a C-index of 0.77, surpassing unimodal baselines.<\/jats:p>","DOI":"10.3233\/shti260114","type":"book-chapter","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:55:43Z","timestamp":1779400543000},"source":"Crossref","is-referenced-by-count":0,"title":["Colorectal Cancer Survival Prediction Using Multimodal Fusion"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8833-9802","authenticated-orcid":false,"given":"Miljana","family":"Shulajkovska","sequence":"first","affiliation":[{"name":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia"},{"name":"International Postgraduate School, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9895-7622","authenticated-orcid":false,"given":"Matej","family":"Jelenc","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Physics, University of Ljubljana, Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9912-2344","authenticated-orcid":false,"given":"Jitendra","family":"Jonnagaddala","sequence":"additional","affiliation":[{"name":"School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Kensington, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6480-9587","authenticated-orcid":false,"given":"Anton","family":"Gradi\u0161ek","sequence":"additional","affiliation":[{"name":"Jo\u017eef Stefan Institute, Ljubljana, Slovenia"},{"name":"International Postgraduate School, Jo\u017eef Stefan Institute, Ljubljana, Slovenia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Opening the Personal Gate between Technology and Health Care"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260114","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:55:43Z","timestamp":1779400543000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260114"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,21]]},"ISBN":["9781643686615"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260114","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,21]]}}}