MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621033703 A) filed by Parag Khadilkar; Krishna Pandit; Saurabh Paikrao; Arahat Paikrao; and Vaishali Savale, Pune, Maharashtra, on March 20, for 'system and method for automated eye disease detection from retinal fundus images using deep learning models.'
Inventor(s) include Parag Khadilkar; Krishna Pandit; Saurabh Paikrao; Arahat Paikrao; and Vaishali Savale.
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: "A computer-implemented system and method for automated detection and classification of eye diseases from retinal fundus images is disclosed. The system receives retinal images through a web-based interface and performs preprocessing operations including image resizing, normalization, and enhancement to prepare the images for analysis. A trained deep learning model based on convolutional neural networks analyzes the processed images to identify patterns associated with retinal diseases. The system classifies the images into predefined categories such as normal eye condition, cataract, glaucoma, and diabetic retinopathy. Prediction results along with confidence scores are generated and displayed through a graphical user interface. The system integrates image processing, machine learning, and web application technologies to provide an accessible and efficient tool for automated retinal disease screening and diagnostic support."
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