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Author

B. Saritha

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Conference Aug 2026

Privacy-Preserving Chronic Kidney Disease Prediction Through Federated Learning Optimization Techniques

Chronic Kidney Disease (CKD) is a major global health concern that requires accurate and timely prediction for effective diagnosis and clinical decision-making. However, conventional centralized machine learning approaches require sensitive patient data to be collected and shared at a central location, raising signific...

Suresh Kumar Gudise, Madasu Venkata Naga Lakshmi, T. V. K. P. Prasad et al. · 0 citations
Conference Jul 2026

ResUNet++ -ViT: A Fusion Framework for Accurate High-Resolution Medical Image Segmentation

Segmentation of medical images is a crucial process for diagnosis and treatment planning. Yet, traditional CNN based models are often not able to convey high-level spatial relationships and intricate tissue boundaries in high-resolution medical images. To tackle these issues, this paper presents a novel ResUNet++–Visio...

G. Satyanarayana, Kadali Satyanarayana, Renuka Kondabala et al. · 0 citations

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