evaluating the malignancy of braeast tumor using artificial neural network based on the quantitative features extracted from dynamic MR imaging
عنوان مقاله: evaluating the malignancy of braeast tumor using artificial neural network based on the quantitative features extracted from dynamic MR imaging
شناسه ملی مقاله: ICMVIP01_001
منتشر شده در اولین کنفرانس ماشین بینایی و پردازش تصویر در سال 1379
شناسه ملی مقاله: ICMVIP01_001
منتشر شده در اولین کنفرانس ماشین بینایی و پردازش تصویر در سال 1379
مشخصات نویسندگان مقاله:
parviz abdolmaleki - department of bio medical physics tarbiat modares university
خلاصه مقاله:
parviz abdolmaleki - department of bio medical physics tarbiat modares university
to develop and artificial neural network ANN to differentiate malignant from benign in a group of patients with histopathologically proved breast lesions on the base of data derived independently from time intensity curve the performance of ANN was compared with that of experienced observers using a database with 120 patients records each of which consisted of 14 quantitative parameters mostly derived from time intensity curve.
کلمات کلیدی: breast cancer, quantitative features dynamic magnetic resonance imaging , artificial neural network ANN , receiver operating characteristic curve ROC
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/125900/