MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641001551 A) filed by M. Ezhilvendan; and Dr. J. Raja, Chennai, Tamil Nadu, on Jan. 7, for 'deep learning based system and method for automated classification of neurological disorders using multimodal neuroimaging data.'
Inventor(s) include M. Ezhilvendan; and Dr. J. Raja.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention provides a system and method for automated classification of neurological disorders using deep learning on multimodal neuroimaging data. The system acquires neuroimaging data from multiple modalities, including MRI, fMRI, CT, PET, and EEG, and preprocesses the data to remove noise, normalize intensity, and align images. Features are automatically extracted from each modality using advanced deep learning models and subsequently fused to capture complementary information. A classification module predicts the neurological disorder based on the fused features, while a visualization module provides interpretable outputs, such as attention maps or heatmaps, to highlight relevant regions. The proposed framework demonstrates high accuracy, robustness, and scalability, enabling real-time or near real-time automated diagnosis and clinical decision support in hospitals, diagnostic centers, and research institutions."
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