MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017986 A) filed by Malla Reddy Engineering College For Women; and Malla Reddy University, Hyderabad, Telangana, on Feb. 18, for 'system and method for automated mri-based detection of alzheimer's disease and brain tumors using transfer learning with cnns.'
Inventor(s) include Y. Madhaveelatha; Rajesh Shine Dhasaian; Naga Sireesha Jaladi; Hiremath Praveen Kumar; Naseera Mohammad; VL Padmalatha; S M Jyothi; and Sima Sahu.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses a system and method for automated detection of Alzheimer's disease and brain tumors using transfer learning with convolutional neural networks. MRI images are preprocessed through resizing, normalization, and augmentation before being passed into pre-trained architectures VGG16 and VGG19. The system fine-tunes dense layers while freezing base layers, enabling accurate classification into categories such as normal, Alzheimer's, and tumor-affected.Experimental results demonstrate that VGG16 achieves approximately 85% accuracy, while VGG19 achieves 91%. Evaluation metrics including confusion matrices, precision, recall, and F1-score validate the system's performance. A visualization module reconstructs 3D MRI volumes, highlighting abnormal regions for enhanced medical interpretability.The invention further supports real-time prediction from uploaded DICOM files and provides a graphical user interface for seamless clinician interaction. Its modular design ensures scalability across datasets and applications, making it suitable for hospitals, radiology departments, telemedicine platforms, and research labs. This invention contributes to the advancement of medical image analysis by reducing manual effort, minimizing diagnostic errors, and supporting early detection of neurological disorders."
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