Provide a novelty CAD for diagnostic of breast cancer in the early stage
محل انتشار: یازدهمین کنگره بین المللی سرطان پستان
سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 305
نسخه کامل این مقاله ارائه نشده است و در دسترس نمی باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICBCMED11_269
تاریخ نمایه سازی: 21 اردیبهشت 1397
چکیده مقاله:
Introduction: Breast cancer is the most common cancer and the leading cause of cancer death among women worldwide. Early diagnosis of this disease is very necessary and even in some cases can be increases the patient s survival time. In this study have been provided an algorithm that will based on the Co-occurrence matrix in each image of a patient. These images must to be seriated which leads to identify the suspicious areas in each image. Methods: To evaluate the performance of the algorithm, the accuracy of its output is matched by the radiologist and the end the good results obtained show that the algorithm has high accuracy. Data collection have been used in this study, including mammograms of patients with diagnosed at any stage of imaging radiologists and pathologists in the case referred to the pathologist s opinion is recorded as the Golden point. Findings: Analysis in history of mammograms in this case study have been shown that certitude of radiologist increased if compare of two images of a patient in 15%. Conclusions: The algorithm presented in this study is a process that is done repeatedly on mammography images to the desired result will be achieve. The provided algorithm indicates that in early mammography images of a patient can be explore some pattern that we can modeled these pattern to a prone changeable areas in the breast in next session of imaging.
کلیدواژه ها:
نویسندگان
Mahdi Hemmasian Ettefagh
Master of advanced research in medical Technology, Screening breast cancer unit, Askarieh Hospital
Nasrin Ahmadinejad
Associate Professor, Tehran University of Medical Sciences, Tehran, Iran.
Mojgan Kalantari
Associate professor, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Nahid Nafissi
Assistant professor, Iran Medical University, Tehran, Iran