MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043463 A) filed by Sr University, Warangal, Telangana, on April 6, for 'an explainable artificial intelligence-based lung cancer diagnosis system with visual attribution and decision transparency mechanisms.'
Inventor(s) include Rajesh Perugu; and Dr. Amit Kumar Yadav.
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 explainable artificial intelligence-based lung cancer diagnosis system that integrates deep learning with visual attribution and decision transparency mechanisms. The system processes CT scan images using advanced preprocessing and feature extraction techniques, followed by classification to detect lung cancer. It incorporates explainability methods such as Grad-CAM to generate visual attribution maps highlighting relevant regions in medical images. Additionally, the system provides decision transparency through confidence scores and reasoning outputs, enabling clinicians to understand and trust the model's predictions. The proposed invention enhances diagnostic accuracy, interpretability, and usability in clinical settings, thereby supporting early detection and improved patient outcomes."
Disclaimer: Curated by HT Syndication.
