| Yazarlar (6) |
Ali Mohamed Abdelhafid
|
|
Ali Mansur
|
|
Nusrat Khalifa
|
|
Javad Rahebi
|
|
Alper Sayıner
|
Prof. Dr. Fatma KANDEMİRLİ
Kastamonu Üniversitesi, Türkiye |
| Özet |
| 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. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Diğer hakemli uluslarası dergilerde yayınlanan tam makale |
| Dergi Adı | International Journal of Engineering Innovation Research |
| Dergi Tarandığı Indeksler | index copernicus |
| Makale Dili | İngilizce |
| Basım Tarihi | 09-2017 |
| Cilt No | 6 |
| Sayı | 2 |
| Sayfalar | 91 / 95 |
