Intellectual Property India Publishes Patent Application for 'A Hybrid Deep Learning Framework For Automated Prostate Cancer Detection Using 3D MRI Images With Segmentation, Classification, And Detection Models' Filed by Mr. Pankaj Pratap Singh; Mirtunjay Pandey; Priyanshu Kumar; and Rohit Kumar

MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611054522 A) filed by Mr. Pankaj Pratap Singh; Mirtunjay Pandey; Priyanshu Kumar; and Rohit Kumar, Ghaziabad, Uttar Pradesh, on April 29, for 'a hybrid deep learning framework for automated prostate cancer detection using 3d mri images with segmentation, classification, and detection models.'

Inventor(s) include Mr. Pankaj Pratap Singh; Mirtunjay Pandey; Priyanshu Kumar; and Rohit Kumar.

The application for the patent was published on June 5, under issue no. 23/2026.

According to the abstract released by the Intellectual Property India: "This disclosure presents a hybrid deep learning framework for automated detection and classification of prostate cancer using 3D Magnetic Resonance Imaging (MRI) data. The proposed system integrates advanced deep learning architectures including U-Net for segmentation, ResNet for classification, and YOLOv8 for tumor detection. The system processes volumetric MRI data to accurately identify cancerous regions, classify tumor severity, and localize abnormalities in real time. By combining multiple deep learning techniques into a unified pipeline, the framework enhances diagnostic accuracy, reduces manual effort, and supports clinical decision-making. Experimental results demonstrate improved efficiency and reliability compared to traditional diagnostic approaches."

Disclaimer: Curated by HT Syndication.