Evaluation of automated brain MR image segmentation and volumetry methods
نویسندگان
چکیده
منابع مشابه
An Effective & Automated MR Brain Image Segmentation
The image processing is an interesting and challenging field now a days and medical image processing plays a major role in it. The medical images are used to analysis the diseases like brain tumor, cancer, diabetes, etc. The brain tumor is one of the dangerous diseases where many people suffer from this disease. Image segmentation is used to take out the suspicious parts from medical images lik...
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Background: Accurate brain tissue segmentation from magnetic resonance (MR) images is an important step in analysis of cerebral images. There are software packages which are used for brain segmentation. These packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. Thus, assessment of the quality of the segmented gray matter (GM), ...
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RATIONALE AND OBJECTIVES Accurate segmentation of brain tumors, and quantification of tumor volume, is important for diagnosis, monitoring, and planning therapeutic intervention. Manual segmentation is not widely used because of time constraints. Previous efforts have mainly produced methods that are tailored to a particular type of tumor or acquisition protocol and have mostly failed to produc...
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background: accurate brain tissue segmentation from magnetic resonance (mr) images is an important step in analysis of cerebral images. there are software packages which are used for brain segmentation. these packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. thus, assessment of the quality of the segmented gray matter (gm), ...
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ژورنال
عنوان ژورنال: Human Brain Mapping
سال: 2009
ISSN: 1065-9471,1097-0193
DOI: 10.1002/hbm.20599