International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 48 - Number 24 |
Year of Publication: 2012 |
Authors: Archana Singh, Ajay Rana, Shipra Srivastava |
10.5120/7528-0570 |
Archana Singh, Ajay Rana, Shipra Srivastava . Comparative Analysis and Automatic Detection of Various Skin Diseases and Implementation of Leucoderma using Support Vector Machine. International Journal of Computer Applications. 48, 24 ( June 2012), 19-22. DOI=10.5120/7528-0570
This paper deals with various utilities of support vector machine in the field of dermatology, especially in skin disease detection . Skin diseases have common to everyone, different types of allergies are becoming more common. Many of these diseases are very dangerous, particularly if not treated at an early stage . The main problem with these diseases is the separation of affected skin from normal skin. Modern medicine is looking for solution which could help the doctors with any aspect of work using the new technology. One of the common approaches used in this area is Support Vector Machine. There are so many diseases that have got the solution using SVM such as automatic detection of ringworm, skin cancers.