MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641050587 A) filed by Srinivasa Ramanujan Institute Of Technology; Dr. D. Maruthi Kumar; G. Sowmya; S. Sabiya; and M. Raviprakash Reddy, Ananthapuramu, Andhra Pradesh, on April 21, for 'automated bone cancer detection using image processing and machine learning techniques.'
Inventor(s) include Srinivasa Ramanujan Institute Technology; Dr. D. Maruthi Kumar; G. Sowmya; S. Sabiya; and M. Raviprakash Reddy.
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: "An automated system and method for detecting bone cancer from medical images is disclosed. The invention employs image processing and machine learning techniques to improve diagnostic accuracy while minimizing manual intervention. Initially, acquired bone images undergo preprocessing operations including noise reduction, grayscale transformation, and edge enhancement to improve image quality. The preprocessed images are subsequently segmented using a K-means clustering algorithm to isolate regions suspected of malignancy from normal bone tissue. Texture-based features are then extracted from the segmented regions using a Gray Level Co-occurrence Matrix (GLCM) technique to generate discriminative feature vectors. The extracted features are classified using a K-Nearest Neighbors (KNN) algorithm to determine whether the analyzed bone tissue is normal or cancerous. The proposed system demonstrates enhanced accuracy, robustness, and computational efficiency compared with conventional Support Vector Machine (SVM)-based approaches. The disclosed invention provides a reliable computer-aided diagnostic tool suitable for clinical decision support in automated bone cancer detection."
Disclaimer: Curated by HT Syndication.
