MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641106156 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 03, 2026, for System And Method For Automated Segmentation Of Brain Tumors Using Deep Learning With Multimodal Mri Integration.
Inventors include Dr. V. Sheeja Kumari; and Dr Ramya Mohan.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: Brain tumor detection and precise segmentation remain critical challenges in medical diagnostics due to the complexity and variability of tumor structures. This invention proposes an automated system that integrates multimodal Magnetic Resonance Imaging (MR1) and advanced deep learning techniques to accurately segment and classify brain tumors. The system utilizes a convolutional neural network (CNN) architecture, trained on Ti, T2, FLAIR, and Ti-contrast images, enabling the accurate distinction between tumor subregions and healthy tissue. The deep_ learning model incorporates spatial attention mechanisms to enhance tissue boundary detection. The invention significantly improves diagnosis speed and reduces human error, providing valuable support to radiologists and neurosurgeons in clinical decision-making.
Disclaimer: Curated by HT Syndication.
