Intelligent Skin Cancer Detection Using a Multispectral Metasurface and a Hybrid
Researchers have developed a novel system for detecting skin cancer that combines a multispectral metasurface with a hybrid deep learning model. This approach captures detailed spectral information beyond the visible spectrum, which is crucial for identifying early-stage malignancies. The hybrid Convolutional Neural Network and Vision Transformer model analyzes both local and global features, achieving high accuracy, sensitivity, and specificity in simulations. This integrated system promises to advance dermatology diagnostics, potentially leading to more portable and accurate clinical tools. AI
IMPACT This research could lead to more accurate and accessible diagnostic tools for skin cancer, improving early detection rates.