Journal of Bioengineering & Biomedical Science

Messadi Mahammed

Publications

• Research Article
  Interpretable Aide Diagnosis System for Melanoma Recognition
  Author(s): Messadi Mahammed, Ammar M, Cherifi H, Chikh MA and Bessaid AMessadi Mahammed, Ammar M, Cherifi H, Chikh MA and Bessaid A
  
  During the last years, computer vision-based diagnosis systems have been widely used in several hospitals and dermatology clinics, aiming mostly at the early detection of malignant melanoma tumor, which is among the most frequent types of skin cancer, versus other types of non-malignant cutaneous diseases. The mortality rate can be decreased by earlier detection of suspicious lesions and better prevention. The aim of this paper is to propose an interpretable classification method for skin tumors in dermoscopic images based on shape descriptors. This work presents a fuzzy rule based classifier to discriminate a melanoma. An adaptive Neuro Fuzzy inference System (ANFIS) is applied in order to discover the fuzzy rules leading to the correct classification. In the first step of the proposed work, we apply the Dullrazor technique to reduce the influence of small structures, hairs, bubbles,.. Read More»
  DOI: 10.4172/2155-9538.1000132

  Abstract PDF