Multiple perception contrastive learning for automated ovarian tumor classification in CT images.
Ovarian cancer is among the most common malignant tumours in women worldwide, and early identification is essential for enhancing patient survival chances. The development of automated and trustworthy diagnostic techniques is necessary because traditional CT picture processing mostly depends on the...
| Publicado en: | Abdominal Radiology Vol. 50; no. 9; pp. 4342 - 4359 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2025
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| Acceso en línea: | Ver este registro en EBSCOhost |