DEVELOPMENT OF COMPUTER-AIDED DIAGNOSTIC SYSTEM FOR BREAST MRI LESION CLASSIFICATION by
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چکیده
Approved: Thesis Supervisor Title and Department
منابع مشابه
Influence of the Different Primary Cancers and Different Types of Bone Metastasis on the Lesion-based Artificial Neural Network Value Calculated by a Computer-aided Diagnostic System,BONENAVI, on Bone Scintigraphy Images
Objective(s): BONENAVI, a computer-aided diagnostic system, is used in bone scintigraphy. This system provides the artificial neural network (ANN) and bone scan index (BSI) values. ANN is associated with the possibility of bone metastasis, while BSI is related to the amount of bone metastasis. The degree of uptake on bone scintigraphy can be affected by the type of bone metastasis. Therefore, t...
متن کاملA Hierarchical Classification Method for Breast Tumor Detection
Introduction Breast cancer is the second cause of mortality among women. Early detection of it can enhance the chance of survival. Screening systems such as mammography cannot perfectly differentiate between patients and healthy individuals. Computer-aided diagnosis can help physicians make a more accurate diagnosis. Materials and Methods Regarding the importance of separating normal and abnorm...
متن کاملDevelopment of computer-aided diagnostic system for breast MRI lesion classification
Approved: Thesis Supervisor Title and Department
متن کاملImproving the performance of neural network in differentiation of breast tumors using wavelet transformation on dynamic MRI
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 u...
متن کاملUsing quantitative features extracted from T2-weighted MRI to improve breast MRI computer-aided diagnosis (CAD)
Computer-aided diagnosis (CAD) has been proposed for breast MRI as a tool to standardize evaluation, to automate time-consuming analysis, and to aid the diagnostic decision process by radiologists. T2w MRI findings are diagnostically complementary to T1w DCE-MRI findings in the breast and prior research showed that measuring the T2w intensity of a lesion relative to a tissue of reference improv...
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تاریخ انتشار 2005