Early Melanoma Detection Based on a Hybrid YOLOv5 and ResNet Technique.

ABSTRACT: Skin cancer, specifically melanoma, is a serious health issue that arises from the melanocytes, the cells that produce melanin, the pigment responsible for skin color. With skin cancer on the rise, the timely identification of skin lesions is crucial for effective treatment. However, the similarity between some skin lesions can result in misclassification, which is a significant problem. It is important to note that benign skin lesions are more prevalent than malignant ones, which can lead to overly cautious algorithms and incorrect results. As a solution, researchers are developing computer-assisted diagnostic tools to detect malignant tumors early. First, a new model based on the combination of "you only look once" (YOLOv5) and "ResNet50" is proposed for melanoma detection with its degre

SUBMITTER: Elshahawy M 

PROVIDER: S-EPMC10486497 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature