Identifying clinically relevant findings in breast cancer using deep learning and feature attribution on local views from high-resolution mammography

IntroductionEarly 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 (DNN) models have demonstrated high accuracy i...

Повний опис

Бібліографічні деталі

Автори:	Diego Mellado, Leondry Mayeta-Revilla, Julio Sotelo, Marvin Querales, Eduardo Godoy, Scarlett Lever, Fabian Pardo, Steren Chabert, Rodrigo Salas
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Frontiers Media S.A. 2025-09-01
Серія:	Frontiers in Oncology
Предмети:	breast cancer deep learning explainable artificial intelligence feature attribution mammography medical image analysis
Онлайн доступ:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1601929/full
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!