MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072330 A) filed by Srm University- Ap on June 11, 2026, for System And Method For Real-Time Kidney Abnormality Detection And Classification Using Lightweight Edge Intelligence.
Inventors include Pushpavathi Kothapalli; Dr. Arijit Datta; and Dr. Swagata Samanta.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: A system (100) and method (200) for real-time detection and classification of kidney abnormalities from computed tomography (CT) images using a lightweight deep learning framework deployed on embedded edge devices are disclosed. The system (100) comprises a CT image source (102), an image acquisition module (104), a preprocessing module (106), a lightweight deep learning inference engine (108) including a feature extraction module (110) and a detection and classification module (112), an embedded edge deployment module (114), an edge computing device (116), an output visualization module (118), and a user interface and clinical display module (120). The framework detects and classifies kidney stones, kidney cysts, kidney tumors, and normal kidney conditions. The inference engine (108) comprises approximately 6.4 million trainable parameters and operates at approximately 15.4 GFLOPs, enabling low-latency real-time inference on resource-constrained embedded devices for clinical, telemedicine, and remote healthcare applications. Figure of Abstract – Fig. 1
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