TY - JOUR ID - TI - A Review Of Skin Cancer Detection AU - Muhammed Kadhim Hussein AU - Jane J. Stephan PY - 2021 VL - 13 IS - 1 SP - Comp Page 67 EP - 76 JO - Journal of Al-Qadisiyah for Computer Science and Mathematics مجلة القادسية لعلوم الحاسوب والرياضيات SN - 20740204 25213504 AB - It can be said that the most common or common health disease is a skin disease. skindiseases are often determined by doctors' experience and sample results (skin biopsy),and it is certainly a time-consuming process. Therefore, there has become an urgentneed for an automated system (computer) to identify and discover skin diseases throughimages with very high accuracy, with fewer doctors or experts in this purview.Identification and classification of the skin disease through the feature/s andcharacteristics that were taken from these images. Since skin diseases have very similaroptical properties And therefore add a lot more challenges to choosing the usefulfeature/s of the image. This means that the accurate analysis of these skin diseasesthrough images will have a good prognosis, short diagnostic time, and speed indiagnosis, and thus it will facilitate and cost-effective treatment. This paper provides anoverview or study on the different methods and techniques for identifying andclassifying skin diseases, which are traditional technology and technology based on deeplearning.

ER -