MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641122841 A) filed by Jayaraju Gaddala on October 14, 2026, for Explainable Brain Tumor Segmentation And Classification System Using Raspberry Pi 5.
Inventors include Dr. G. Joel Sunny Deol; Dr. Alahari Hanumat Prasad; Dr. B. Siva Lakshmi; Dr. Md. Umar Khan; Dr. Vamshi Krishna K; Ch. Sowjanya; Andluru Aparna; and Dr. G. Jaya Raju.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: ABSTRACT EXPLAINABLE BRAIN TUMOR SEGMENTATION AND CLASSIFICATION SYSTEM USING RASPBERRY PI 5 An explainable brain tumor segmentation and classification system (100) runs on a Raspberry Pi 5 single-board computer (106). An image acquisition interface (104) receives brain magnetic resonance images or slices from an image source (102). On the board, a preprocessing module (108) prepares each image for a trained model, a segmentation module (110) produces a mask of a candidate tumor region, a classification unit (112) assigns the region to a predefined tumor category with a confidence value, and an explainability unit (114) generates an overlay, such as a contour or heat map, registered with the source image. A display interface (116) shows the source image, mask, category, confidence value and overlay together, and a local storage unit (118) keeps selected results for later review. Because the analysis runs locally, images need not be sent to a remote server. The system supports, and does not replace, professional medical assessment.
Disclaimer: Curated by HT Syndication.
