MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078915 A) filed by Syed Rizwana, Nit Mizoram; Tushar Manohar Mumbaikar; Dr. G. Bindu Madhavi, Geethanjali College Of Engineering And Technology; Swathi Buragadda, Lakireddy Balireddy College Of; and Dr. Iftikhar Aslam Tayubi, King Abdulaziz University on June 26, 2026, for A System And Method For Explainable Breast Cancer Detection And Diagnostic Decision Support Using Hybrid Deep Learning And Multi-Modal Medical Image Analysis.
Inventors include Syed Rizwana, Nit Mizoram; Tushar Manohar Mumbaikar; Dr. G. Bindu Madhavi, Geethanjali College Of Engineering; Swathi Buragadda, Lakireddy Balireddy College Of; and Dr. Iftikhar Aslam Tayubi, King Abdulaziz University.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses a system and method for explainable breast cancer detection and diagnostic decision support using hybrid deep learning and multi-modal medical image analysis. The system integrates mammography, ultrasound, breast MRI, histopathology images, and clinical patient information using adaptive multi-modal fusion techniques. Image preprocessing, lesion segmentation, hybrid CNN-Transformer feature extraction, ensemble classification, and explainable artificial intelligence modules collectively provide accurate breast cancer diagnosis. Explainability is achieved through Grad-CAM, SHAP, attention visualization, confidence estimation, and textual clinical interpretation. The invention improves diagnostic accuracy, transparency, clinician confidence, and decision support while reducing false diagnoses and enabling efficient deployment in healthcare institutions
Disclaimer: Curated by HT Syndication.
