ABUS-ResMask-Net: ABUS Lesion Classification Network Design with ResMask Module and BI-RADS Content-Awareness Auxiliary Tasks.
This study aims to develop a 2.5D deep learning model with shape and margin as auxiliary tasks to improve the diagnostic performance of benign–malignant classification of breast lesions in automated breast ultrasound system (ABUS) images. In this retrospective study, 387 breast lesions (106 malignan...
| Publicado en: | Journal of Imaging Informatics in Medicine pp. 1 - 16 |
|---|---|
| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |