AIMC Journal:
IEEE transactions on medical imaging

Showing 571 to 580 of 699 articles

Structure-Preserving Guided Retinal Image Filtering and Its Application for Optic Disk Analysis.

IEEE transactions on medical imaging May 21, 2018
Retinal fundus photographs have been used in the diagnosis of many ocular diseases such as glaucoma, pathological myopia, age-related macular degeneration, and diabetic retinopathy. With the development of computer science, computer aided diagnosis h...
Image Interpretation, Computer-Assisted Optic Disk Retinal Diseases Deep Learning Retina Diagnostic Techniques, Ophthalmological Humans Algorithms
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Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

IEEE transactions on medical imaging May 17, 2018
Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation of the corresponding tasks has thus been th...
Female Male Deep Learning Humans Databases, Factual Heart Diseases Image Interpretation, Computer-Assisted Cardiac Imaging Techniques Magnetic Resonance Imaging Heart
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Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.

IEEE transactions on medical imaging May 15, 2018
This paper proposes a novel methodology for automatic detection and localization of gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed with weakly annotated images, using only image-level, semantic labels inste...
Databases, Factual Image Interpretation, Computer-Assisted Gastroscopy Humans Deep Learning Gastrointestinal Tract Algorithms Video Recording Gastrointestinal Diseases
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DRINet for Medical Image Segmentation.

IEEE transactions on medical imaging May 10, 2018
Convolutional neural networks (CNNs) have revolutionized medical image analysis over the past few years. The U-Net architecture is one of the most well-known CNN architectures for semantic segmentation and has achieved remarkable successes in many di...
Humans Neural Networks, Computer Algorithms Abdomen Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Pulmonary Artery-Vein Classification in CT Images Using Deep Learning.

IEEE transactions on medical imaging May 4, 2018
Recent studies show that pulmonary vascular diseases may specifically affect arteries or veins through different physiologic mechanisms. To detect changes in the two vascular trees, physicians manually analyze the chest computed tomography (CT) image...
Humans Pulmonary Disease, Chronic Obstructive Pulmonary Artery Algorithms Deep Learning Pulmonary Veins Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural Networks.

IEEE transactions on medical imaging Apr 30, 2018
Navigated 2-D multi-slice dynamic magnetic resonance imaging (MRI) acquisitions are essential for MR guided therapies. This technique yields time-resolved volumetric images during free-breathing, which are ideal for visualizing and quantifying breath...
Magnetic Resonance Imaging Video Recording Respiration Imaging, Three-Dimensional Abdomen Humans Neural Networks, Computer Algorithms
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Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks.

IEEE transactions on medical imaging Apr 27, 2018
The mathematical problem for electrical impedance tomography (EIT) is a highly nonlinear ill-posed inverse problem requiring carefully designed reconstruction procedures to ensure reliable image generation. D-bar methods are based on a rigorous mathe...
Humans Algorithms Computer Simulation Lung Deep Learning Electric Impedance Fourier Analysis Tomography Radiography, Thoracic Phantoms, Imaging
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Enhancing the Image Quality via Transferred Deep Residual Learning of Coarse PET Sinograms.

IEEE transactions on medical imaging Apr 26, 2018
Increasing the image quality of positron emission tomography (PET) is an essential topic in the PET community. For instance, thin-pixelated crystals have been used to provide high spatial resolution images but at the cost of sensitivity and manufactu...
Animals Deep Learning Image Processing, Computer-Assisted Algorithms Mice Positron-Emission Tomography Phantoms, Imaging
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Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets.

IEEE transactions on medical imaging Mar 30, 2018
Acute ischemic stroke is recognized as a common cerebral vascular disease in aging people. Accurate diagnosis and timely treatment can effectively improve the blood supply of the ischemic area and reduce the risk of disability or even death. Understa...
Aged Brain Ischemia Aged, 80 and over Diffusion Magnetic Resonance Imaging Algorithms Male Middle Aged Humans Brain Imaging, Three-Dimensional Neural Networks, Computer Female Stroke
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3-D Consistent and Robust Segmentation of Cardiac Images by Deep Learning With Spatial Propagation.

IEEE transactions on medical imaging Mar 29, 2018
We propose a method based on deep learning to perform cardiac segmentation on short axis Magnetic resonance imaging stacks iteratively from the top slice (around the base) to the bottom slice (around the apex). At each iteration, a novel variant of t...
Humans Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Heart Ventricles Cardiac Imaging Techniques
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