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.
Full text not available from this repository. (Request a copy)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 |
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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 |