MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641082480 A) filed by Bgs College Of Engineering And Technology Bgscet on July 04, 2026, for A Method And System For Automated Respiratory Disease Detection Using Chest X-Ray Images.
Inventors include Ravikumar Guralamata Krishnegowda; Govindaiah Thimma Raju; Parvathi Chikkanna; Ganapriya Venkatachala Gowda; Nisarga Hospet Manjunath; Rakshita Giridhar Hiremath; and Tejaswini Naskari Naik.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present disclosure addresses limitations associated with conventional deep learning techniques for automated respiratory disease detection from chest X-ray images, including inadequate feature discrimination and inconsistent classification performance. To address these limitations, a computer-implemented respiratory disease detection system (100) and method (200) are disclosed. The system (100) receives chest X-ray images, preprocesses the images, extracts hierarchical feature representations using a feature extraction module (304), and sequentially refines the extracted features through a channel attention module (306a) and a spatial attention module (306b). The refined feature representations are classified by a classification module (308) to generate respiratory disease predictions, which are communicated through an output module (310). The disclosed architecture facilitates automated and reliable classification of respiratory diseases from chest X-ray images.
Disclaimer: Curated by HT Syndication.
