MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000301 A) filed by Rimt University, Mandi Gobindgarh, Punjab, on Jan. 2, for 'iot-enabled embedded system for breast cancer detection and classification.'
Inventor(s) include Saurabh Sharma; Jasmeen Gill; and Ravinder Pal Singh.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The invention provides an IoT-enabled breast cancer detection and classification system integrating imaging hardware, biomedical sensors, embedded computation, and deep learning-based diagnostic analysis. The system includes an imaging module configured to capture high-resolution breast images and a processing unit comprising a Raspberry Pi or equivalent low-power computing device. The processing unit executes an optimized convolutional neural network to analyze the preprocessed and segmented images and classify them as normal, benign, or malignant. Biomedical sensors measure supplementary parameters to guide image acquisition conditions and support diagnostic interpretation. The system further includes a communication module enabling secure cloud synchronization, remote monitoring, long-term data storage, and telemedicine-based clinical consultation. By performing inference locally and supporting offline operation, the system is portable, low-cost, and suitable for deployment in rural and resource-limited healthcare environments. The invention enhances accessibility to early detection and improves diagnostic efficiency in breast cancer screening workflows."
Disclaimer: Curated by HT Syndication.
