MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611021046 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Feb. 23, for 'an automated mri-based brain tumor detection system and method using transfer learning and machine learning.'
Inventor(s) include Abhishek Yadav; Akash Kumar Gupta; Dev Vijay Singh; Himanshu Pratap Tomar; Dr. Sonam Gupta; and Pradeep Gupta.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an automated MRI-based brain tumor detection system and method employing machine learning and transfer learning for enhanced neuroimaging diagnosis. The system integrates an MRI imaging modality with a GPU-accelerated computing platform configured to preprocess volumetric MRI data, extract hierarchical image features, and perform classification using a fine-tuned deep convolutional neural network architecture. Transfer learning enables efficient adaptation of pretrained models for accurate tumor detection with reduced computational complexity. The system achieves diagnostic accuracy of up to 96.8% with improved sensitivity and specificity, thereby reducing diagnostic errors and interpretation time. The coordinated operation of imaging hardware, memory subsystems, and parallel processing units provides a tangible technical effect through optimized data handling, accelerated inference, and real-time clinical decision support. The invention offers a scalable, robust, and industrially applicable solution for automated medical image analysis, facilitating early diagnosis, improved patient outcomes, and enhanced healthcare efficiency."
Disclaimer: Curated by HT Syndication.
