Open AccessA Review of Skin Disease Classification Techniques based on Machine Learning
Publication year - 2021
Publication title -
international journal of emerging trends in engineering research
Language(s) - English
Resource type - Journals
ISSN - 2347-3983
DOI - 10.30534/ijeter/2021/11982021
Subject(s) - actinic keratosis , dermatofibroma , dermatology , basal cell carcinoma , skin cancer , medicine , basal cell , melanocytic nevus , keratosis , disease , melanoma , cancer , pathology , nevus , immunohistochemistry , cancer research
Dermatology is one of the most unpredictable and difficult field to diagnose. In this field, more tests are needed to be carried out so as to decide the skin condition the patient may be facing. The time to diagnose may vary according to the different dermatologist. Machine learning and image processing can be used to efficiently detect the skin diseases. There are seven different categories of skin cancer- melanocytic nevi, melanoma, benign keratosis, Basal cell carcinoma, actinic keratosis, vascular lesions and dermatofibroma. The purpose of this review is to outline types, diagnosis, methodology and treatment of skin cancer.