Year: 2020
Type: conference-paper
Abstract: Skin disease is the world's fourth largest cause of non-fatal diseases impacting 30-70% of populations and it is widespread across geographies and ages.In the United States, skin disease is the primary form of skin cancer.Skin disease is one of the most prevalent health issues.Over the years hepatic melanoma diagnosis is a complex field of research.Nevertheless, dermatologists usually have low supplies and the consultation costs are high, particularly in rural areas.Dermatoscopy is a widely used diagnostic method that enhances the detection of skin lesions, as it provides important lesion information that can be useful for the clinician and an automated alert tool.Diagnostic systems operated by computers need sophisticated image processing algorithms to provide statistical representations of suspended areas.In this article we have analysed the current technological advancements used in computer-aided skin lesion diagnostic techniques.The stages include the pre-processing of dermoscopic images, segmenting, feature selection and classification of specific characteristics and relegation of skin lesions.
Authors: Sheetal N. Patil, Hitendra D. Patil, Prashant G.Patil
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W3111027014
