Automatic detection of breast thermography images and extraction of statistical specific features to improve the breast cancer detection

سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 416

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شناسه ملی سند علمی:

KAUCEE01_023

تاریخ نمایه سازی: 29 مهر 1396

چکیده مقاله:

Cancer is the third leading cause of death in Iran, as well as breast cancer is the second most common cause of death among women in the world. According to calculations by the National Cancer Institute of United States, one person of every eight women will be diagnosed with breast cancer. Unfortunately, the age of cancer in Iran is a decade younger than other developed countries. Therefore, early diagnosis of this disease is essential in the healing process. With detect and remove cancerous tumors in the early stages before spreading to neighboring areas, cancer threats be stopped. Among the various methods of screening, thermography is a non-invasive and safe method to detect breast cancer. In this paper, at first paid to the automatically way that in this regard, Kenny edge and Hough transform have been enjoying and then a thermography classification algorithm to detect breast cancer based on certain characteristics extraction of the tissue in gray level co-occurrence matrix is provided. For this purpose, 68 healthy and unhealthy images of the breast are collected from the database. Finally, the features set as input are given into the support vector machine classifier. The result of Accuracy was 87.3, Sensitivity was 89.6 and Specificity Index was 83.9 selected as the optimal structure compared to other methods that have been proposed so far.

نویسندگان

Pegah Sotoodeh

Department of Biomedical Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Homayoon Ebrahimian

Department of Biomedical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran