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Author

Retinderdeep Singh

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Open access Oct 2026

Multi-task deep learning framework for brain tumor classification and segmentation using ensemble feature extraction

Brain tumors are one of the most severe neurologic diseases, and their early and proper diagnosis is critical in developing treatment plans. MRI is often used in tumor detection; however, the manual examination is time-consuming and susceptible to human error. While deep learning algorithms have contributed to more aut...

Retinderdeep Singh, C. Prabha, Shahab A. Abdulla · 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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