Intellectual Property India Publishes Patent Application for 'An Adaptive Deep Transfer Learning System For Automated Detection Of Lung Abnormalities In Ct Scans' Filed by Krishnaraj Rao N S; Sanjeev Kulkarni; Krishnaraj Rao N S; Shreenath Acharya; Renuka Tantry; Krishna Kaushik P; and Karthik K

MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123809 A) filed by Krishnaraj Rao N S; Sanjeev Kulkarni; Krishnaraj Rao N S; Shreenath Acharya; Renuka Tantry; Krishna Kaushik P; and Karthik K, Mangaluru, Karnataka, on Dec. 9, 2025, for 'an adaptive deep transfer learning system for automated detection of lung abnormalities in ct scans.'

Inventor(s) include Krishnaraj Raos; Sanjeev Kulkarni; Krishnaraj Raos; Shreenath Acharya; Renuka Tantry; Krishna Kaushik P; and Karthik K.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "Disclosed herein is an adaptive deep transfer learning system for automated detection of lung abnormalities in CT scans (100) comprises a preprocessing module (102) configured to receive and normalize CT image slices of lungs. The system also includes a convolutional neural network (CNN) module (104) configured to extract deep hierarchical feature representations from the preprocessed CT images. The system also includes a transfer learning adaptation module (106) configured to fine-tune one or more layers of the CNN module based on lung-domain data. The system also includes a classification module (108) configured to predict one or more abnormality classes. The system also includes an interpretability module (110) configured to generate visual explanations. The system also includes a performance evaluation module (112) configured to validate system performance using cross-validation on annotated datasets and compute diagnostic metrics."

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