Breast Cancer Detection From Thermography Based on Deep Neural Networks

被引：11

作者：

Kiymet, Seyfullah ^{[1
]}

Aslankaya, Muhammet Yavuz ^{[1
]}

Taskiran, Murat ^{[1
]}

Bolat, Bulent ^{[1
]}

机构：

[1] Yildiz Tech Univ, Dept Elect & Commun Engn, Istanbul, Turkey

来源：

2019 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU) | 2019年

关键词：

breast cancer detection; thermography; image processing; deep neural networks; logistic regression;

D O I：

10.1109/asyu48272.2019.8946367

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Breast cancer is one of the most common types of cancer that affects more than 15% of women throughout their lives. Early detection of this type of cancer is crucial for the positive outcome of the treatment process. There are several screening methods for the detection of breast cancer. In this study, a new method based on thermal imaging is proposed for the detection of breast cancer. Four deep learning networks that were successful in object recognition competitions in recent years were used for breast cancer detection from thermographic breast images and as a result of experimental studies, ResNet50 network achieved the highest test performance in detection of breast cancer by 88.89%. This study demonstrated the applicability of deep learning networks in breast cancer detection.

引用

页码：52 / 56

页数：5

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