MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202631059150 A) filed by Techno New Town, Kolkata, West Bengal, on May 9, for 'mathematical morphology based technique for segmenting ground glass opacities (ggo) in lung ct images.'
Inventor(s) include Dr. Soma Chatterjee; Dr. Rohit Kamal Chatterjee; and Dr. Radha Tamal Goswami.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention provides a fast and efficient technique that utilizes simple thresholding and Mathematical Morphology based algorithms to segment GGO in lung CT scans of patients. The algorithm's evaluation revealed that this unique segmentation approach correctly segments lungs from chest CT images and identifies regions containing GGO, with average sensitivities, specificities, and accuracies of 96.89%, 95.23%, and 97.22%, respectively. The described segmentation algorithm is adequate and beneficial for assisting radiologists in detecting GGO's in lung CT scans. Moreover, this algorithm performs well compared to other approaches, which are both complex and time-consuming."
Disclaimer: Curated by HT Syndication.
