MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050582 A) filed by Srinivasa Ramanujan Institute Of Technology; Mr. C. Ravi Teja; B. Sivananda; M. Sudharshan Reddy; and Reddyvari Tharun, Ananthapuramu, Andhra Pradesh, on April 21, for 'oral cancer detection using image processing and cnn algorithm.'
Inventor(s) include Srinivasa Ramanujan Institute Technology; Mr. C. Ravi Teja; B. Sivananda; M. Sudharshan Reddy; and Reddyvari Tharun.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Oral Cancer Detection Using Image Processing and CNN Algorithm Abstract: The present invention relates to an automated system for early detection and classification of oral cancer using image processing techniques and deep learning algorithms. Oral cancer is a life-threatening disease often diagnosed at later stages due to the lack of efficient screening methods. The invention aims to provide a fast, accurate, and cost-effective solution for detecting pre-cancerous conditions such as leukoplakia, erythroplakia, and erythroleukoplakia. The proposed system utilizes medical oral images as input and performs preprocessing operations including image resizing, noise removal, and contrast enhancement to improve image quality. Further, image segmentation is carried out using clustering techniques to identify regions of interest. A Convolutional Neural Network (CNN) is employed to automatically extract features and classify images into different categories of oral conditions. The model improves diagnostic accuracy while reducing human intervention and processing time. The system can assist healthcare professionals in early diagnosis, especially in rural and remote areas where expert medical facilities are limited. This invention contributes to improved patient outcomes, reduced mortality rates, and advancement in AI-based medical diagnostics."
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