Detection of Pemphigus Vulgaris in Development Stage of Skin Erosion

EasyChair Preprint 4187

Abstract

Pemphigus Vulgaris (PV) is an autoimmune blister disease which is a common type of pemphigus. It is involved in the oral mucosa and skin area. Some facts are making the diagnosis of PV disease even more difficult. Only one characteristic is identifying the PV blister that is Nikolsky’s sign (bulla spread sign). PV blister looks like the same as the other blister disease. Rupture blister makes erosions on the surface of the skin area. The clinical diagnosis of PV is more painful. Therefore, selecting an area of relevant diagnosis procedure is most important not just for dermatologists but for non-expert person as well. The proposed work is an attempt to provide a solution for the detection of PV in the development stages of skin erosion. We explore a systematic and effective framework system for identifying PV from relevant information, image data, and the description. Our system works on two-section, first is interrogation about symptoms and second different types of image analysis to detect blister images. The system successfully detects PV blister with an accuracy rate of 88.67%.

Keyphrases: Blister, Classifier, Random Forest, expert system, image analysis, image processing, pemphigus vulgari

@booklet{EasyChair:4187,
  author    = {Mayuri Vagh and Dipali Kasat},
  title     = {Detection of Pemphigus Vulgaris in Development Stage of Skin Erosion},
  howpublished = {EasyChair Preprint 4187},
  year      = {EasyChair, 2020}}