Melanoma Skin Cancer Segmentation with Image Region Growing Based on Fuzzy Clustering Mean
|Research Area:||Volume 6,Issue 2, March 2017||Year:||2017|
|Type of Publication:||Article||Keywords:||Melanoma Skin Cancer, Image region growing, Fuzzy C-mean|
Melanoma is the most common dangerous type of skin cancer. On the other hand, if found in an early stage, there is a high likelihood of cure. For that reason, various types of imaging techniques have been investigated. Dermoscopy is one non-invasive imaging technique for diagnosis. The accuracy of diagnosis using dermoscopy is very important and depends on the experience of dermatologists. Visual examination is a waste of time, so there is currently wide attention paid to the development of computer-aided diagnostic systems to aid the clinical evaluation of dermatologists. Image Segmentation is very important in digital-image processing and self-discovery, with an important role to play in solving many difficult problems, particularly those related to chronic diseases, such as skin cancer. Analysis of automatic dermoscopy images usually has three stages: a) feature selection and extraction, b) image segmentation, and c) feature classification.
Full text: IJEIR_2223_FINAL.pdf