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Author

Durgesh Nandan

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Open access Oct 2026

Region-adaptive multimodal learning with morphology-guided feature modulation for brain tumor segmentation

Segmentation of brain tumors using multimodal MRI is difficult because patients have different appearances and structure of tumors. The existing methods of multimodal feature fusion achieve global feature integration but they do not recognize the unique properties which exist in each tumor subregion. Subregion-specific...

Naga Maha Lakshmi K., Durgesh Nandan, Sushma Parihar · 0 citations
Open access Jul 2026

A 3D residual U-Net with attention-driven spatial pyramid pooling for accurate multimodal MRI brain tumor segmentation

Experimental results demonstrate that the proposed 3D U-Net achieves superior performance, with a Dice coefficient of 0.83 and a Jaccard index of 0.82, outperforming baseline models across all evaluation metrics, indicating strong generalization capability.

Retinderdeep Singh, C. Prabha, Navita Gupta et al. · 0 citations

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