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Automatic segmentation of the abdominal Aorta from CT images

We present a new method for the segmentation and the detection of human Abdominal Aorta in CT images. Our method is divided into two parts;

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Landmarking and Segmentation of 3D CT Images

in the segmentation of neuroblastic tumors in pediatric CT images. Methods to identify and segment automatically the peripheral artifacts and;

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Landmarking and Segmentation of 3D CT Images

in the segmentation of neuroblastic tumors in pediatric CT images. Methods to identify and segment automatically the peripheral artifacts and;

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CT Angiography, An Issue of Radiologic Clinics of North America

Update; CT Angiography of Thoracic Aorta; CT Angiography of Abdominal Aorta; CT Angiography of the Liver, Spleen, and Pancreas; CT Angiography;

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CT Angiography, An Issue of Radiologic Clinics of North America

, the issue proceeds to review the use of CT angiography for imaging the carotid artery and cerebrovascular circulation, the thoracic aorta, and;

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101 CT Abdomen Solutions

101 CT Abdomen Solutions is a guide to interpreting computed tomography images of the abdominal anatomy. The book is divided into 23;

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Head and Neck Tumor Segmentation

-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 204 delineated PETCT images;

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CT and MR Angiography of the Peripheral Circulation

including the extracranial and intracranial circulation, the pulmonary circulation, the thoracic and the abdominal aorta, the renal, and mesenteric;

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Liver Imaging MRI With CT Correlation

in abdominal imaging, Richard C. Semelka MD. * User-friendly, atlas-style presentation, with over 1500 MRI and CT images in over 320 figures featuring;

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Fundamentals of Body CT

condition from another. Reviews the spiral/helical CT protocols currently used for the diagnosis of chest, abdominal, and;

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Abdominal Imaging

of abdominal imaging for efficient, effective learning and exam preparation. Features 700+ high-quality, full-color images spanning the GI;

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Probabilistic Segmentation of Intravascular Ultrasound Sequences

of the atherosclerotic plaques. However, manual segmentation of IVUS images is difficult and time consuming. In this work, an automatic method;

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Clinical Cardiac CT

-- ensures physicians develop the skills they need to interpret cardiac CT images with confidence. This volume begins with a brief introduction;

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Hybrid Image Processing Methods for Medical Image Examination

In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation;

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Abdominal Imaging. Computation and Clinical Applications

, in Cambridge, MA, USA, in September 2014. The book includes 29 papers which were carefully reviewed and selected from 33 submissions. The topics;

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MR Angiography of the Body

heart and coronary arteries, the abdominal aorta and renal arteries, and peripheral vessels. The final section considers the role of MRA;

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Abdominal Imaging

digital images, helps you make the most of new technologies and advances in abdominal imaging. Offers thorough coverage of all;

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Textbook of Gastrointestinal Radiology, 2-Volume Set

the latest and emerging GI and abdominal imaging technologies. Drs. Richard M. Gore and Marc S. Levine lead a team of world-renowned experts;

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Case Studies in Abdominal and Pelvic Imaging

Studies in Abdominal and Pelvic Imaging uses the most up-to-date and high quality images, including plain films, CT scans, MRI scans and the;

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Atlas of Pathological Computer Tomography

It was our aim to place at the disposal of radiologists within a short time an atlas of high-quality, valuable pictures of abdominal CT;

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Diagnostic Abdominal Imaging

Imaging provides a comprehensive review of abdominal diseases based onpattern recognition. Utilizing more than 2,300 images, the book includes;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2018

presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the;

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Multi Modality State of the Art Medical Image Segmentation and Registration Meth

With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical;

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Simulation and Synthesis in Medical Imaging

selected from 14 submissions. The contributions span the following broad categories: cross modality (PET/MR, PETCT, CT/MR, etc.) image synthesis;

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Metaheuristic Algorithms for Image Segmentation

-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital;

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Metaheuristic Algorithms for Image Segmentation

-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital;

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