Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria
نویسندگان
چکیده
منابع مشابه
Auto Contour Initialization of Breast Masses in Contrast Enhanced Breast CT
Dedicated breast CT (bCT) produces high-resolution 3D tomographic images of the breast, fully resolving fibroglandular tissue structures within the breast and allowing for breast lesion detection and assessment in 3D.Various techniques have been used for detecting cancer in women. Previous studies have worked on providing a manual seed point for evaluating the area of tumor. In this study, we p...
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چکیده: سرطان پستان دومین عامل مرگ مرتبط با سرطان در خانم ها است. از آنجا که سرطان پستان یک تومور وابسته به هورمون است، می تواند توسط وضعیت هورمون های استروئیدی شامل استروژن و پروژسترون تنظیم شود. استروژن نقش مهمی در توسعه و پیشرفت سرطان پستان ایفا می کند و تاثیر خود را روی بیان ژن های هدف از طریق گیرنده های استروژن اعمال می کند. اما گروه دیگری از گیرنده های هسته ای به نام گیرنده های مرتبط به ا...
15 صفحه اولSegmentation Method of Breast Masses on Ultrasonographic Images Using Level Set Method Based on Statistical Model
It is important to segment mass region accurately in a computer-aided diagnosis (CADx) scheme for evaluating the likelihood of malignancy of the mass on ultrasonographic breast image. The purpose of this study was to develop a novel level set method for segmentation of breast mass on ultrasonographic image. Our database consisted of 151 ultrasonographic images with 70 malignant and 81 benign br...
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BACKGROUND Magnetic resonance imaging mammography is performed to determine the extent of lesions and to detect occult lesions, but preoperative diagnosis by breast computed tomography (CT) is less common. METHODS We performed a retrospective study of detection of mammographically occult multiple lesions using breast CT. The subjects were 407 female patients (median age: 56 years old; median ...
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ژورنال
عنوان ژورنال: Journal of Digital Imaging
سال: 2013
ISSN: 0897-1889,1618-727X
DOI: 10.1007/s10278-013-9652-1