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S. Umapathy

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#federated learning Review Open access Oct 2026

Multimodal AI in hematology: a systematic review of fusion approaches for automated diagnosis of blood disorders

Hematological disorders, including anemia and leukemia, pose major health risks globally, especially in developing areas. Around 1.92 billion people are affected by anemia, with about 475,000 new leukemia cases diagnosed yearly, resulting in approximately 310,000 deaths. The reliance on subjective conventional diagnost...

Bhavadharani Babu, S. Umapathy · 0 citations
Open access Aug 2026

Advancing Parkinson’s detection from MRI: a deep learning comparison of classical and quantum architectures

The precise diagnosis of Parkinson’s Disease (PD) continues to pose a considerable barrier in clinical neurology. This work investigates the capability of sophisticated deep learning architectures to improve Parkinson’s disease identification via Magnetic Resonance Imaging (MRI) scans, aiming to improve diagnosti...

Jothiraj Selvaraj, Fadiyah Almutairi, Omar Alhajlah et al. · 0 citations

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