Intellectual Property India Publishes Patent Application for 'Volumentric Ct Scan Analysis For Pulmonary Nodule Detection And Maligancy Classification Using 3D CNN Architecture' Filed by Kits Akshar Institute Of Technology; and KKR & KSR Institute of Technology and Sciences

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061894 A) filed by Kits Akshar Institute Of Technology; and KKR & KSR Institute of Technology and Sciences, Guntur, Andhra Pradesh, on May 15, for 'volumentric ct scan analysis for pulmonary nodule detection and maligancy classification using 3d cnn architecture.'

Inventor(s) include Mrs. G. Mounika; Mr. B. Nagarjuna; Shaik Hassainuddin Vali; Pothuraju Karthik; Gogula Babi Siva Shankar; and Devana Sai Prasanth.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a computer-aided diagnostic system for automated pulmonary nodule detection and malignancy classification using volumetric Computed Tomography (CT) scan data. The system employs an end-to-end three-dimensional Convolutional Neural Network (3D CNN) architecture to analyze entire lung volumes instead of slice-by-slice two-dimensional analysis.The invention includes preprocessing of CT volumes using Hounsfield Unit normalization and lung segmentation, followed by candidate nodule detection using a 3D Region Proposal Network (RPN) or 3D U-Net architecture. Detected nodules are further classified as benign or malignant using a 3D CNN classifier such as 3D ResNet or C3D.The proposed system improves detection sensitivity, reduces false positives, and enhances early lung cancer diagnosis through volumetric feature extraction and deep learning-based classification."

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