MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008429 A) filed by Sr University, Warangal, Telangana, on Jan. 28, for 'an interpretable hybrid computational architecture for multiclass lung cancer identification through demographic and high-resolution imaging fusion.'
Inventor(s) include Dr. G. Ashok Kumar; and Dr. Balajee Maram.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "An Interpretable Hybrid Computational Architecture for Multiclass Lung Cancer Identification Through Demographic and High-Resolution Imaging Fusion 2.Abstract The present invention relates to an interpretable hybrid computational architecture for accurate multiclass lung cancer identification by integrating demographic data with high-resolution medical imaging information. The proposed system combines deep learning-based image feature extraction with structured demographic and clinical attributes to improve diagnostic performance across multiple lung cancer classes. A hybrid fusion mechanism is employed to jointly analyze imaging patterns and patient-specific factors, enabling robust classification while preserving interpretability. Explainable modeling components provide transparent insights into feature contributions from both demographic variables and imaging regions, supporting clinical understanding and trust. The system is designed to assist clinicians in early detection, subtype differentiation, and decision-making by delivering reliable and interpretable diagnostic outputs. The proposed architecture enhances diagnostic accuracy, reduces uncertainty, and supports responsible adoption of artificial intelligence in lung cancer diagnosis using multimodal data fusion. Keywords Lung cancer classification, Multiclass diagnosis, Hybrid computational architecture, Medical image analysis, Demographic data fusion, Explainable artificial intelligence."
Disclaimer: Curated by HT Syndication.
