Classification of Skin Cancer Using Novel Hyperspectral Imaging Engineering via YOLOv5.

ABSTRACT: Many studies have recently used several deep learning methods for detecting skin cancer. However, hyperspectral imaging (HSI) is a noninvasive optics system that can obtain wavelength information on the location of skin cancer lesions and requires further investigation. Hyperspectral technology can capture hundreds of narrow bands of the electromagnetic spectrum both within and outside the visible wavelength range as well as bands that enhance the distinction of image features. The dataset from the ISIC library was used in this study to detect and classify skin cancer on the basis of basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and seborrheic keratosis (SK). The dataset was divided into training and test sets, and you only look once (YOLO) version 5 was applied to train the m

SUBMITTER: Huang HY 

PROVIDER: S-EPMC9918106 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature