Naqvi Maryam, Gilani Syed Qasim, Syed Tehreem, Marques Oge, Kim Hee-Cheol
Institute of Digital Anti-Aging Healthcare, Inje University, Gimhae 50834, Republic of Korea.
Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.
Diagnostics (Basel). 2023 May 30;13(11):1911. doi: 10.3390/diagnostics13111911.
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early. Skin cancer is mostly diagnosed using visual inspection, which is less accurate. Deep-learning-based methods have been proposed to assist dermatologists in the early and accurate diagnosis of skin cancers. This survey reviewed the most recent research articles on skin cancer classification using deep learning methods. We also provided an overview of the most common deep-learning models and datasets used for skin cancer classification.
皮肤癌是最危险的癌症类型之一，也是全球主要死因之一。如果能早期诊断皮肤癌，死亡人数是可以减少的。皮肤癌大多通过肉眼检查来诊断，而这种方法不太准确。已经有人提出基于深度学习的方法来协助皮肤科医生对皮肤癌进行早期和准确的诊断。本次综述回顾了使用深度学习方法进行皮肤癌分类的最新研究文章。我们还概述了用于皮肤癌分类的最常见深度学习模型和数据集。
