Advancing breast cancer relapse prediction with radiomics and neural networks: a clinically interpretable framework.
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| Title: | Advancing breast cancer relapse prediction with radiomics and neural networks: a clinically interpretable framework. |
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| Authors: | Khalid A; Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain., Mursil M; Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain., Pablo CL; Hospital de Tortosa Verge de la Cinta, Institut Catala de la Salut, Tortosa, Spain., Bosch R; Hospital de Tortosa Verge de la Cinta, Institut Catala de la Salut, Tortosa, Spain., Puig D; Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain., Rashwan HA; Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Spain. |
| Source: | Frontiers in oncology [Front Oncol] 2025 Sep 15; Vol. 15, pp. 1593806. Date of Electronic Publication: 2025 Sep 15 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2025.1593806 |
