A. Guzmán-Pando

BCSeg-IRUNet: A Hybrid Inception–Residual Encoder–Decoder for Mammographic Mass Segmentation

Breast cancer accounted for approximately 2.4 million new cases and 694,000 deaths worldwide in 2024. Deep learning approaches, particularly encoder–decoder architectures, have been investigated for mammographic mass segmentation. However, evaluations are commonly centered on benchmarked datasets, which include only an...