MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202621004941 A) filed by Moresh Madhukar Mukhedkar; Aisha Singh; Rajhindavi Vishwas Sathe; Vivek Patil; Kiran Kumar Yadav; and Pallavi Dongare, Pune, Maharashtra, on Jan. 19, for 'improving skin cancer detection using deep learning methods.'
Inventor(s) include Moresh Madhukar Mukhedkar; Aisha Singh; Rajhindavi Vishwas Sathe; Vivek Patil; Kiran Kumar Yadav; and Pallavi Dongare.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a computer-implemented system and method for automated detection and classification of skin cancer using deep learning techniques. The system processes dermatoscopic skin lesion images through image preprocessing operations including resizing, normalization, and noise reduction. A convolutional neural network is employed to automatically extract relevant features from the processed images and classify the skin lesions into benign and malignant categories. The proposed invention provides a non-invasive, efficient, and accurate diagnostic solution that assists in early detection of skin cancer, reduces dependency on biopsy procedures, and supports clinical decision-making. The system can be integrated into clinical and teledermatology environments, thereby improving accessibility and reliability of skin cancer diagnosis."
Disclaimer: Curated by HT Syndication.
