Author Login IJIRT Partner Network (IPN) Login

DERM-DETECT

  • Unique Paper ID: 162034
  • Volume: 10
  • Issue: 7
  • PageNo: 286-290
  • Abstract:
  • This project focuses on the development of an automated system for the detection and classification of dermatological disorders using a combination of image processing techniques and machine learning algorithms. Leveraging the power of computer vision, this project aims to create a robust framework that can analyze skin images, extract relevant features, and employ machine learning models to classify different dermatological conditions. By harnessing a diverse dataset of skin images and implementing advanced image segmentation and feature extraction methods, the system intends to achieve high accuracy in identifying disorders such as eczema, psoriasis, melanoma, lentigo and more. The outcome of this project could significantly contribute to improving the accessibility and speed of dermatological diagnosis, does not require any expensive equipment, ultimately benefiting patients and healthcare professionals alike.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 7
  • PageNo: 286-290

DERM-DETECT

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