MUMBAI, India, Aug. 31 -- Intellectual Property India has published a patent application (202641101053 A) filed by Dr D Rajasekhar; Dr. Kotikala Narayana Rao; K S Niraja; Shruthi Shetty J; Mallavalli. Aruna; Mrs. Madhumitha R; Dr. K. Antonyraj; Patil Prerna; Nagasuma Cv; Dr Venkateswara Reddy Vennapusa; Dr. Prasanna Kumar Lakineni; and A. S. Harina on August 21, 2026, for Iot-Enabled Machine Learning Framework For Early Breast Cancer Prediction Using Medical Image Processing.
Inventors include Dr D Rajasekhar; Dr. Kotikala Narayana Rao; K S Niraja; Shruthi Shetty J; Mallavalli. Aruna; Mrs. Madhumitha R; Dr. K. Antonyraj; Patil Prerna; Nagasuma Cv; Dr Venkateswara Reddy Vennapusa; Dr. Prasanna Kumar Lakineni; and A. S. Harina.
The application for the patent was published on August 28, 2026, under issue no. 35/2026.
Abstract: The present invention discloses the development of a machine learning framework that makes use of IoT technology in predicting the early onset of breast cancer via medical image processing. The proposed framework involves the incorporation of IoT-enabled medical imaging tools, secure data acquisition tools, image preprocessing tools, feature extraction methods, and machine learning models in the automatic interpretation of breast images. The medical images such as mammography and ultrasound images are acquired using connected imaging equipment and then transferred to a processing facility where they undergo processes such as noise removal, contrast enhancement, segmentation, and identification of the region of interest. The deep learning and machine learning models analyze the extracted features of the images to determine any abnormal tissue formations and classify the lesions as benign or malignant. FIG.1
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