MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621047702 A) filed by Sanjeev Gour; and Dr Mamta Gour on April 14, 2026, for Quality-Aware Adaptive Hybrid Machine Learning And Deep Learning Method For Robust Breast Cancer Prediction Using Heterogeneous Mammography Images.
Inventors include Sanjeev Gour; and Dr Mamta Gour.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT The present invention relates to a computer-implemented method for adaptive breast cancer prediction using heterogeneous mammography images. The method introduces a quality-aware hybrid framework integrating machine learning and deep learning models. Each image is evaluated for quality and dynamically routed to an optimal predictive model. The system employs clustering, adaptive weighting, and ensemble fusion techniques to improve classification accuracy. A feedback optimization mechanism continuously enhances model performance. The invention provides improved robustness, reduced variance, and enhanced reliability in medical image-based cancer prediction systems.
Disclaimer: Curated by HT Syndication.
