MUMBAI, India, Sept. 12 -- Intellectual Property India has published a patent application (202411012642 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on Feb. 22, 2024, for 'automated image segmentation for medical imaging.'
Inventor(s) include Prof. Arpit Bhardwaj; and Prof. Ajith Abraham.
The application for the patent was published on Sept. 12, under issue no. 37/2025.
According to the abstract released by the Intellectual Property India: "The invention introduces an automated system designed for the segmentation of medical images. By employing a data input module, the system receives medical imaging data, which is then normalized and enhanced through a pre-processing module. This module ensures the mitigation of noise and artifacts. A segmentation module utilizes a deep learning model, specifically a Convolutional Neural Network (CNN), to delineate anatomical structures or regions of interest within the pre-processed images. The segmented medical image data, available in both two-dimensional and three-dimensional visualizations, is then presented through an output module. The system also boasts a validation component, allowing for accuracy checks against a pre-validated dataset. This invention bridges the gap between advanced deep learning technologies and clinical necessities, offering a comprehensive solution for the automated segmentation of medical images."
Disclaimer: Curated by HT Syndication.
