Intellectual Property India Publishes Patent Application for 'Deep Learning-based System For Automated Detection And Multi-Class Classification Of Lung Cancer' Filed by Sri Krishna College Of Engineering And Technology

MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641016998 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on Feb. 16, for 'deep learning-based system for automated detection and multi-class classification of lung cancer.'

Inventor(s) include Dr. K. Vimala; and Dr. K. S. Jeen Marseline.

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 present invention relates to an automated system and method for detecting and classifying lung cancer using deep learning applied to medical imaging data. The system comprises a medical imaging input unit (100) for receiving CT, X-ray, or MRI images, a preprocessing unit (110) for normalization, enhancement, and segmentation, and a deep learning model (120) for automatic feature extraction. A classification module (130) performs multi-class classification of lung cancer subtypes, while an adaptive decision module (125) calibrates prediction confidence and flags uncertain cases. An explainable artificial intelligence unit (140) generates visual explanations to improve transparency and clinical trust. The output and report unit (150) produces structured diagnostic reports compatible with hospital workflows. The invention provides improved accuracy, interpretability, and robustness compared to conventional systems and supports real-time clinical deployment for early lung cancer diagnosis."

Disclaimer: Curated by HT Syndication.