Deep Neural Network Based Diagnosis System for Melanoma Skin Cancer

被引：0
|
作者：
Basturk, Alper [1 ]
Yuksel, Mehmet Emin [2 ]
Badem, Hasan [1 ,3 ]
Caliskan, Abdullah [2 ]
机构：
[1] Erciyes Univ, Bilgisayar Muhendisligi Bolumu, Kayseri, Turkey
[2] Erciyes Univ, Biyomed Muhendisligi Bolumu, Kayseri, Turkey
[3] Sutcu Imam Univ, Bilgisayar Muhendisligi Bolumu, Kahramanmaras, Turkey
来源：
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2017年
关键词：
deep learning; deep neural network; ABCD rule; melanoma;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Melanoma is a serious cancer that causes many people to lose their lives. This disease can be diagnosed by a dermatologist as a result of interpretation of the dermoscopy images by the ABCD rule. In this study, a deep neural network (DNN) is used as a new method for diagnosis of melanoma skin cancer. This method is compared with the-state-art-methods in literature. According to the obtained results, DNN was more successful than the comparative methods.
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页数：4
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