Skin Cancer Detection: A Review Using Deep Learning Techniques

International Journal of Environmental Research and Public Health

Shumaila Akram¹  Muhammad Ramzan¹  AbdurRehman Mahmood²  HikmatUllah Khan³  AbdulHakeem M Saeed⁴  SolimanAyed Alsaiari⁵  MohammedOlaythah Alraddadi⁶  MaterHussen Mahnashi⁷  Muhammad Irfan⁸  Mehwish Dildar⁹ 

[1] Department of Computer Science and Information Technology, University of Sargodha, Sargodha 40100, Pakistan;Department of Computer Science, COMSATS University Islamabad, Islamabad 440000, Pakistan;Department of Computer Science, Wah Campus, Comsats University, Wah Cantt 47040, Pakistan;Department of Dermatology, Najran University Hospital, Najran 61441, Saudi Arabia;Department of Internal Medicine, Faculty of Medicine, Najran University, Najran 61441, Saudi Arabia;Department of Internal Medicine, Faculty of Medicine, University of Tabuk, Tabuk 71491, Saudi Arabia;Department of Medicinal Chemistry, Pharmacy School, Najran University, Najran 61441, Saudi Arabia;Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia;Government Associate College for Women Mari Sargodha, Sargodha 40100, Pakistan;

关键词: deep learning;    deep neural network (DNN);    machine learning;    melanoma;    support vector machine (SVM);    skin lesion;   

DOI  :  10.3390/ijerph18105479

来源: DOAJ

【 摘 要 】

Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or mutations on the skin. Skin cancer tends to gradually spread over other body parts, so it is more curable in initial stages, which is why it is best detected at early stages. The increasing rate of skin cancer cases, high mortality rate, and expensive medical treatment require that its symptoms be diagnosed early. Considering the seriousness of these issues, researchers have developed various early detection techniques for skin cancer. Lesion parameters such as symmetry, color, size, shape, etc. are used to detect skin cancer and to distinguish benign skin cancer from melanoma. This paper presents a detailed systematic review of deep learning techniques for the early detection of skin cancer. Research papers published in well-reputed journals, relevant to the topic of skin cancer diagnosis, were analyzed. Research findings are presented in tools, graphs, tables, techniques, and frameworks for better understanding.

【 授权许可】

Unknown