MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048485 A) filed by Vels Institute Of Science, Technology And Advanced Studies, Chennai, Tamil Nadu, on April 16, for 'a system and a method for domain-adaptive explainable lung disease classification.'
Inventor(s) include Sadakathulla P. K; and R. Parameswari.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "A system (100) for automated lung disease classification from chest X-ray images is disclosed. The system (100) comprises an image acquisition module (102) configured to receive chest X-ray images and a pre-processing engine (104) configured to generate pre-processed image data. A self-supervised pre-learning module (106) learns generalized feature representations from heterogeneous datasets, while a domain adaptation module (108) aligns feature distributions between source and target domains to produce domain-invariant features. A hybrid feature extraction backbone (110), comprising a DenseNet sub-module (110a), a ResNet sub-module (110b), and a transformer encoder module (110c), extracts multi-scale local and global features. A regional attention module (114) enhances localization of disease-relevant regions, and a graph attention network module (118) models spatial and semantic relationships. A feature fusion module (120) generates a unified feature representation, and a classification engine (122) performs multi-class lung disease classification with improved accuracy and robustness across varying imaging conditions."
Disclaimer: Curated by HT Syndication.