MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122939 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 5, 2025, for 'ai-driven lung cancer detection system using hybrid deep learning.'
Inventor(s) include Dr. Sivakumar Rajagopal; and Mr. Poddar Harshit Amitesh.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a system for detecting lung cancer from medical imaging data. The system includes a data preprocessing module configured to receive and process 2D computed tomography scan images, a hybrid deep learning architecture having a local feature extraction component, a global contextual relationship modeling component, and an attention mechanism component configured to focus on diagnostically relevant regions, a detection framework integrated with the hybrid deep learning architecture and configured to detect and classify lung cancer into multiple cancer types in real-time, and a quantitative assessment module configured to calculate tumor metrics from bounding box predictions using a pixel-to-centimeter conversion factor. The system processes CT scan images (1) with color-coded bounding boxes indicating different cancer types including adenocarcinoma, small cell carcinoma, large cell carcinoma, and squamous cell carcinoma while achieving processing speeds suitable for clinical deployment."
Disclaimer: Curated by HT Syndication.
