MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641071384 A) filed by Sona College Of Technology on June 09, 2026, for Deep Learning-Based System And Method For Hemorrhagic Stroke Detection Using Brain Ct Images.
Inventors include Subashini S M C; Vaishnavi Dali A; Hemalatha K; Aishwarya S; Ananda Priyadarshini D; and Jeeva Sugin D.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: ABSTRACT The present invention relates to a deep learning-based system and method for automated hemorrhagic stroke detection using brain CT scan images. The invention comprises a CT image acquisition module, an image preprocessing module, a deep learning analysis engine, a feature extraction module, a classification module, and a diagnostic decision-support interface. The system utilizes trained neural network models to automatically analyze CT scan images and identify hemorrhagic abnormalities with improved speed and accuracy. The method includes acquisition of CT scan images, preprocessing, feature extraction, deep learning- based classification, and generation of diagnostic outputs for assisting clinicians. The invention reduces diagnostic delays, minimizes manual interpretation errors, supports emergency medical response, and improves healthcare efficiency through rapid and reliable hemorrhagic stroke detection.
Disclaimer: Curated by HT Syndication.
