Identifying clinically relevant findings in breast cancer using deep learning and feature attribution on local views from high-resolution mammography
Date Issued
2025-09
Author(s) USM
DOI
10.3389/fonc.2025.1601929
Abstract
Introduction Early detection of breast cancer via mammography screening is essential to improve survival outcomes, particularly in low-resource settings such as the global south where diagnostic accessibility remains limited. Although Deep Neural Network
