Intellectual Property India Publishes Patent Application for 'A Deep Learning-Based Framework For Automated Detection And Classification Of Cervical Cancer From Medical Imaging Data' Filed by Sr University

MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541085012 A) filed by Sr University, Warangal, Telangana, on Sept. 8, 2025, for 'a deep learning-based framework for automated detection and classification of cervical cancer from medical imaging data.'

Inventor(s) include Pravalika Kaithoju; and Dr. Santosh Kumar Henge.

The application for the patent was published on Feb. 6, under issue no. 06/2026.

According to the abstract released by the Intellectual Property India: "The present invention discloses a deep learning-based framework for automated detection and classification of cervical cancer from medical imaging data. The framework employs a hybrid architecture combining convolutional neural networks and Vision Transformers to extract robust features from cytology, histopathology, and radiology images. Multimodal integration of imaging and clinical data improves diagnostic accuracy, while data augmentation and transfer learning address data imbalance issues. An explainable AI module enhances transparency by highlighting decision-influencing regions in the images. The system is validated across benchmark and real-world datasets, offering a scalable, efficient, and clinically reliable solution for early cervical cancer diagnosis."

Disclaimer: Curated by HT Syndication.