Experimental Investigation of Classification Algorithms for Predicting Lesion Type on Breast DCE-MR Images
نویسندگان
چکیده
منابع مشابه
Experimental Investigation of Classification Algorithms for Predicting Lesion type on Breast DCE-MR Images
Timely revealing of breast cancer is one of the most important issues in determining prognosis for women with malignant tumors. Dynamic contrast-enhanced (DCE) MRI is being increasingly used in the clinical setting to help detect and characterise tissue, suspicious for malignancy and has been shown to be the most sensitive modality for screening highrisk women. Computer-assisted evaluation (CAE...
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With an advance in technologies, different tumor features have been collected for Breast Cancer (BC) diagnosis, processing of dealing with large data set suffers some challenges which include high storage capacity and time require for accessing and processing. The objective of this paper is to classify BC based on the extracted tumor features. To extract useful information and diagnose the tumo...
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breast cancer is a major public health problem for women in the iran and many other parts of the world. dynamic contrast-enhanced magnetic resonance imaging (dce-mri) plays a pivotal role in breast cancer care, including detection, diagnosis, and treatment monitoring. but segmentation of these images which is seriously affected by intensity inhomogeneities created by radio-frequency coils, is a...
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OBJECTIVE The purpose of our study was to evaluate the diagnostic value of an imaging protocol combining dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI) in patients with suspicious breast lesions. MATERIALS AND METHODS A total of 31 breast lesions (15 malignant and 16 benign proved by histological examination) in 26 female patients were included in this study. For ...
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Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used for breast lesion differentiation. Manual segmentation in DCE-MRI is difficult and open to viewer interpretation. In this paper, an automatic segmentation method based on image manifold revealing was introduced to overcome the problems of the currently used method. First, high dimensional datasets were constructed fro...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/14101-2125