Detection of Melanoma Skin Cancer in Dermoscopy Images

2016 International Conference on Communication, Image and Signal Processing

物理学;无线电电子学;计算机科学

Eltayef, Khalid^1 ; Li, Yongmin^1 ; Liu, Xiaohui^1

Computer Science Department, Brunel University London, Uxbridge

UB8 3PH, United Kingdom^1

关键词: Computer aided diagnosis systems;    Dermoscopic images;    Dermoscopy images;    Directional filters;    Image Inpainting;    Malignant melanoma;    Markov Random Fields;    Pre-processing step;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/787/1/012034/pdf
DOI  :  10.1088/1742-6596/787/1/012034

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Malignant melanoma is the most hazardous type of human skin cancer and its incidence has been rapidly increasing. Early detection of malignant melanoma in dermoscopy images is very important and critical, since its detection in the early stage can be helpful to cure it. Computer Aided Diagnosis systems can be very helpful to facilitate the early detection of cancers for dermatologists. In this paper, we present a novel method for the detection of melanoma skin cancer. To detect the hair and several noises from images, pre-processing step is carried out by applying a bank of directional filters. And therefore, Image inpainting method is implemented to fill in the unknown regions. Fuzzy C-Means and Markov Random Field methods are used to delineate the border of the lesion area in the images. The method was evaluated on a dataset of 200 dermoscopic images, and superior results were produced compared to alternative methods.