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.

引用

页数：4

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