MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641106019 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 03, 2026, for Real-Time Brain Tumor Detection And Classification System Using Convolutional Neural Networks And Edge Computing.
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: The proposed invention introduces a real-time brain tumor detection and classification system that utilizes Convolutional Neural Networks (CNNs) deployed on edge computing devices. By minimizing latency and enabling offline operation, the system delivers fast, reliable results at the point-of-care, especially beneficial in resource- constrained or remote settings. The CNN model is trained to segment tumor regions and classify them into benign or malignant categories using preprocessed MRI scans. Integration with edge hardware enables processing at the device level, enhancing scalability, data privacy, and efficiency. This system aids neurologists and radiologists in timely diagnosis and intervention planning.
Disclaimer: Curated by HT Syndication.
