N. Thirupathi Rao

MSF-Swin-ICFNet: An Image-Derived Multi-Scale Swin Transformer Framework with Cross-Scale Feature Fusion for Breast Lesion Classification and Segmentation in Mammograms

Background: Accurate breast lesion classification and localization from mammograms remain challenging because lesions vary in size, morphology, density, contrast, and boundary clarity. This study proposes MSF-Swin-ICFNet, an image-derived Multi-Scale Swin Transformer framework wi...

Swin-DAFU: denoising-augmented feature fusion unit for breast lesion segmentation and classification in 2D mammograms

Breast lesion segmentation and benign/malignant classification from 2D mammographic images remain challenging because lesion boundaries are often subtle, irregular, and affected by variations in breast density, image contrast, and acquisition conditions. This study presents Swin-...