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Author

Panigrahi Srikanth

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Conference Jul 2026

DFANet: Dual-Branch Feature Fusion with Multi-Attention Decoding for Colonoscopy Polyp Segmentation

Accurate colonoscopic polyp segmentation is essential for early colorectal cancer detection, yet remains challenging due to low contrast, specular highlights, blurred boundaries, and large variations in polyp appearance. We propose DFANet, a dual-branch feature aggregation framework that combines transformer-driven glo...

Kokkanti Srinija, M. Harshini, Panigrahi Srikanth · 0 citations
Conference Jul 2026

LS-PolypSeg: A Parameter-Efficient LoRA-Enhanced SAM3 Framework for Polyp Segmentation

Accurate polyp segmentation is essential for early detection of colorectal cancer, where precise delineation of lesion boundaries directly impacts clinical decision-making. Despite significant progress, existing convolutional methods often struggle to capture global contextual information, while transformerbased and fo...

Sanjana Jhansi Ganji, Panigrahi Srikanth, Kaushal Sambanna et al. · 0 citations

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