Repositori institucional URV
| URV's Author/s: | Abdelnasser Mohamed Mahmoud, Mohamed / Puig Valls, Domènec Savi |
| Author, as appears in the article.: | Hassan, Loay; Abdel-Nasser, Mohamed; Saleh, Adel; Puig, Domenec |
| Author's mail: | domenec.puig@urv.cat mohamed.abdelnasser@urv.cat |
| Author identifier: | 0000-0002-0562-4205 0000-0002-1074-2441 |
| Journal publication year: | 2022 |
| Publication Type: | Proceedings Paper |
| APA: | Hassan, Loay; Abdel-Nasser, Mohamed; Saleh, Adel; Puig, Domenec (2022). Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. Amsterdam: IOS Press |
| Papper original source: | Frontiers In Artificial Intelligence And Applications. 356 269-278 |
| Abstract: | Breast cancer is the most frequently diagnosed cancer in women globally. Early and accurate detection and classification of breast tumors are critical in improving treatment strategies and increasing the patient survival rate. Digital breast tomosynthesis (DBT) is an advanced form of mammography that aids better in the early detection and diagnosis of breast disease. This paper proposes a breast tumor classification method based on analyzing and evaluating the performance of various of the most innovative deep learning classification models in cooperation with a support vector machine (SVM) classifier for a DBT dataset. Specifically, we study the ability to use transfer learning from non-medical images to classify tumors in unseen DBT medical images. In addition, we utilize the fine-tuning technique to improve classification accuracy. |
| Article's DOI: | 10.3233/FAIA220348 |
| Link to the original source: | https://ebooks.iospress.nl/doi/10.3233/FAIA220348 |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Informàtica i Matemàtiques |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Artificial intelligence Ciências agrárias i Comunicació i informació Engenharias iii Engenharias iv General o multidisciplinar Información y documentación Interdisciplinar Medicina ii |
| Keywords: | Breast cancer classification Brest cancer classification Computer vision Deep learning Digital breast tomosynthesis Support vector machin Support vector machine |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-10-12 |
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