AI-Powered Skin Cancer Detection Using Low-Quality Images
AI-Powered Skin Cancer Detection Using Low-Quality Images
Convolutional Neural Network Classification of Basal Cell Carcinoma
Tags: National Cheng Kung University, Taiwan, Healthcare & Lifesciences
This technology uses convolutional neural networks (CNNs) to accurately and rapidly distinguish between normal and basal cell carcinoma (BCC) skin tissues. It analyzes images of collagen fibers to detect early signs of skin cancer with high precision. The technique requires only low-quality, non-invasive images for training and works without large data sets, making it efficient. Applications include early skin cancer detection and medical diagnostics. The system improves accuracy in identifying BCC for timely treatment.
IP Type or Form Factor: Patent Granted; Process & Method; Software & Algorithm; Platform
TRL: Not specified
Industry or Tech Area: Diagnostics & Screening; Healthcare Provider
