MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641007165 A) filed by Vignan's Foundation For Science, Technology and Research, Tenali, Andhra Pradesh, on Jan. 24, for 'a deep learning-driven computer-aided diagnostic system for early skin cancer detection.'
Inventor(s) include Ds Bhupal Naik; I Leela Priya; P Srinivas Rao; and Sajja Radharani.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "Skin cancer is one of the major problems people face with harmful light sources such as Ultra-violet (UV), infrared radiation (IR). It is very important to identify the type of skin cancer to save people. However, doing this by hand is a daunting task. It is very tedious for doctors and therefore relies on Computer-Aided Diagnostic (CAD) tools. We have developed a deep learning solution that can identify the type of Skin-lesion images. We used Convolutional neural network models using Transfer learning. The proposed solution to obtain the best accuracy of various pre-trained image classification models such as VGG-16, Inception V3 and Inception ResNetV2 can provide standard predictions for test samples. Our models offer best test data performance with 78.79%, 80.15% and 83.18% accuracies of VGG 16, Inception V3 and Inception ResNetV2."
Disclaimer: Curated by HT Syndication.
