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International Journal of Radiation Research، جلد ۳، شماره ۳، صفحات ۱۳۵-۱۴۲
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عنوان انگلیسی Improving the performance of neural network in differentiation of breast tumors using wavelet transformation on dynamic MRI
چکیده انگلیسی مقاله  ABSTRACT Background: A computer aided diagnosis system was established using the wavelet transform and neural network to differentiate malignant from benign in a group of patients with histo-pathologically proved breast lesions based on the data derived independ­ently from time-intensity profile. Materials and Methods: The per­formance of the artificial neural network (ANN) was evaluated using a database with 105 patients' records each of which consisted of 8 quantitative parameters mostly derived from time-intensity profile using wavelet transform. These findings were encoded as features for a three-layered neural network to predict the outcome of biopsy. The network was trained and tested using the jack­knife method and its performance was then compared to that of the radiologists in terms of sensitiv­ity, specificity and accuracy using receiver operating characteristic curve (ROC) analysis. Results: The network was able to classify correctly the 84 original cases and yielded a comparable diagnostic accuracy (80%), compared to that of the radiologist (85%) by per­forming a constructive association between extracted quantitative data and correspond­ing pathological results (r=0.63, p< 0.001). Conclusion: An ANN supported by wavelet transform can be trained to differentiate malignant from benign breast tumors with a reason­able degree of accuracy.
کلیدواژه‌های انگلیسی مقاله Breast,neural network,wavelet transform, MR Imaging
نویسندگان مقاله p عبدالملکی | p abdolmaleki
department of biophysics, faculty of science, tarbiat modares university, tehran,iran

سازمان اصلی تایید شده: دانشگاه تربیت مدرس (Tarbiat modares university)

h ابریشمی مقدم | h abrishami moghddam


m گیتی | m gity


m مختاری دیزجی | m mokhtari dizaji


a مصطفی | a mostafa


نشانی اینترنتی http://www.ijrr.com/browse.php?a_code=A-10-1-161&slc_lang=en&sid=en
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زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده فیزیک پزشکی
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