Survey of Skin Cancer Detection using Various Image Processing Techniques

Kavitha, P. and Jayalakshmi, V (2020) Survey of Skin Cancer Detection using Various Image Processing Techniques. 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS). pp. 1062-1069.

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Abstract

Due to the increasing complexities in human perception difficulties and subjectivity, the dermatological disorders are still remaining as one of the greatest medical issues. In recent years, a melanocytic cancer is becoming as a most deadly cancer in the human kind. Dermatologists are expecting a computer aided system that can detect it in early stage. So, it is very important for the physicians to detect cancer in its early stage. This paper has been presenting a survey on readily accessible image processing techniques for melanoma detection as image processing plays a significant part on the images obtained from the digital clinic in detecting and classifying the diseases. This paper studies about the different available non-invasive techniques that are ought to provide a computerized image. Numerous classifiers performcertainly for the diagnosis of skin lesions is associated and the corresponding findings are also discussed.

Item Type: Article
Subjects: Computer Science Engineering > Supervised Learning
Divisions: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 06 Oct 2024 05:51
Last Modified: 06 Oct 2024 05:51
URI: https://ir.vistas.ac.in/id/eprint/8757

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