MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641106025 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 03, 2026, for A Computer-Implemented Method For Renal Tumor Identification And Analysis From Medical Imaging Data.
Inventors include Rajagopal K; Dr. V. Sheeja Kumari; Vijayalakshmi R; and Dr Ramya Mohan.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: The present invention relates to a computer-implemented method for automated identification and analysis of renal tumors from medical imaging data using advanced artificial intelligence and medical image processing techniques. The proposed system processes kidney images obtained from medical imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound imaging systems. The acquired images undergo preprocessing operations including noise reduction, normalization, and contrast enhancement to improve image quality and ensure reliable analysis.A deep learning-based feature extraction module analyzes the processed images to identify spatial, structural, and texture-related characteristics associated with renal tumor regions. A tumor localization module detects suspicious areas and accurately determines tumor boundaries within kidney structures. Subsequently, a tumor characterization module evaluates tumor properties including size, shape, intensity patterns, and texture features. Machine learningbased classification algorithms are applied to determine tumor type and malignancy probability.The system further incorporates explainable artificial intelligence techniques to generate interpretable diagnostic insights through visualization methods such as heatmaps and saliency maps. Cloud-based infrastructure enables secure storage of medical imaging data and supports remote diagnostics and collaborative analysis among healthcare professionals. In addition, a self-learning mechanism continuously improves model performance by incorporating newly available clinical data. The invention enhances early detection of renal tumors, improves diagnostic accuracy, and assists clinicians in making informed treatment decisions.
Disclaimer: Curated by HT Syndication.
