AI pathology framework can enable a deeper understanding of cancer

The digital transformation of pathology is opening up new possibilities for cancer diagnosis. Today's artificial intelligence ...
IEEE

GA-UNet: Genetic Algorithm-Optimized Lightweight U-Net Architecture for Multi-Sequence Brain Tumor MRI Segmentation

Abstract: Brain tumor segmentation plays a critical role in accurate diagnosis and treatment planning but remains challenging due to complex tumor boundaries and variations across MRI sequences.
IEEE

A Federated Learning and Explainable AI Framework for Privacy-Preserving Brain Tumor Diagnosis Using Multi-Institutional MRI Data

Abstract: Diagnosing brain tumors from multi-sequence magnetic resonance imaging remains a critical yet challenging task due to data privacy concerns, heterogeneity across institutions, and the ...