Image segmentation using deep CNN to intelligently detect and access vitiligo: A survey

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Image segmentation using deep CNN to intelligently detect and access vitiligo: A survey
Author(s):
Anumalasetty Sri Lakshmi Thiruvalli, Anil Kumar Gupta
Keywords:
Vitiligo, Detection, CNN, Treatment, Machine learning algorithms.
Abstract
Vitiligo is a disease that causes when pigment cells stop functioning. People having low vitamins will have a high chance of getting vitiligo. The national vitiligo Foundation has calculated that 0.5 to 2% of general people have vitiligo. Treatment for vitiligo is unsatisfactory. Recently, image processing is playing a key aspect in the medical field and popularly used for skin disease detections. This paper was Determining the vitiligo lesion segmented skin with the help of machine learning algorithms and convolutional neural networks (CNN'S), here Introducing a convolutional neural network that can quickly and robustly perform vitiligo skin lesion segmentation. In this paper, it presents the survey of various vitiligo detection techniques using machine learning algorithms that is based on image processing, detection, recognition of vitiligo.
Article Details
Unique Paper ID: 150943 Publication Volume & Issue: Volume 7, Issue 11 Page(s): 46 - 50
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