MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123757 A) filed by Mr. Sunil Kumar Chella Swamy Santha Kumari; Mr. P. Rajakumar; Mr. Ravi Bhushan; Mr. Niteesh Kumar Mishra; Mr. Mohit Singh Tanwar; Dr. Jaydipkumar Hitendrabhai Trivedi; Dr. S. Hemalatha; Ms. Anitha P; Mr. Sathiyaseelan P; and Mr. Rajakumar Perumal on October 15, 2026, for A Deep Learning-Based Automated System For Bone Fracture Detection And Classification.
Inventors include Mr. Sunil Kumar Chella Swamy Santha Kumari; Mr. P. Rajakumar; Mr. Ravi Bhushan; Mr. Niteesh Kumar Mishra; Mr. Mohit Singh Tanwar; Dr. Jaydipkumar Hitendrabhai Trivedi; Dr. S. Hemalatha; Ms. Anitha P; Mr. Sathiyaseelan P; and Mr. Rajakumar Perumal.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present system proposes a deep learning-based automated system for bone fracture detection and classification from digital X-ray images. The system comprises an image preprocessing module, a multi-scale feature extraction module, a feature-fusion module, a fracture analysis module, an uncertainty assessment module, and an output module. The feature-fusion module is configured to combine image representations at different spatial resolutions for identifying candidate fracture regions and generating corresponding classification outputs. The uncertainty assessment module is configured to identify predictions that satisfy predefined criteria for additional professional review. The output module presents the candidate fracture region, predicted category, and associated uncertainty information to assist healthcare professionals in examining radiographic images. The proposed system is intended to support computer-aided fracture assessment. Its architecture, performance, and clinical applicability remain subject to implementation, experimental evaluation, and appropriate validation.
Disclaimer: Curated by HT Syndication.
