Author Login IJIRT Partner Network (IPN) Login

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

  • Unique Paper ID: 150943
  • Volume: 7
  • Issue: 11
  • PageNo: 46-50
  • 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.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 7
  • Issue: 11
  • PageNo: 46-50

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

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry