Intellectual Property India Publishes Patent Application for 'AI-Driven Colorized Medical Imaging System With Adaptive Anomaly Detection Using Convolutional Neural Networks' Filed by Manipal University

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115720 A) filed by Manipal University, Jaipur, Rajasthan, on Nov. 22, 2025, for 'ai-driven colorized medical imaging system with adaptive anomaly detection using convolutional neural networks.'

Inventor(s) include Ms. Simran Kaur; Varun Tiwari; and Anagha Ghosh.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "The present disclosure discloses AI-Driven colorized medical imaging system with adaptive anomaly detection using convolutional neural networks (100) designed to enhances diagnostic accuracy by transforming grayscale scans into clinically interpretable color images. The system includes a data acquisition & preprocessing module (102) for receiving grayscale medical images. The AI Image Colorization Module (104) uses context-based segmentation and dynamic color mapping to generate colorized medical scans. A multi-scale feature extraction module (106) performs deep pattern recognition and compares extracted features against stored image patterns. An adaptive anomaly detection module (108) computes similarity scores and applies thresholding to highlight anomalies. A real-time processing & integration module (110) overlays anomaly indicators, enables PACS integration, and allows toggle between grayscale and color views. The invention increases diagnostic clarity, reduces interpretation effort, and supports telemedicine workflows for scalable medical imaging."

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