Author

Narayanam R. S. Lakshmi Prasanthi

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Open access Sep 2026

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

Simple Summary Breast lesions can be difficult to distinguish on mammograms because they vary considerably in size, shape, density, contrast, and visibility. This study developed MSF-Swin-ICFNet, an artificial-intelligence model that examines mammograms at multiple image scales and combines information from these scale...

Narayanam R. S. Lakshmi Prasanthi, N. Thirupathi Rao, S. D. Kumar · Tomography · 0 citations

Open access Aug 2026

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-DAFU, a Swin Transformer-based encoder-d...

Narayanam R. S. Lakshmi Prasanthi, N. Rao, Deva Kumar Salluri · Scientific Reports · 0 citations