AIMC Journal:
IEEE transactions on medical imaging

Showing 551 to 560 of 696 articles

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.

IEEE transactions on medical imaging Aug 30, 2018
Accurate segmentation of pelvic organs (i.e., prostate, bladder, and rectum) from CT image is crucial for effective prostate cancer radiotherapy. However, it is a challenging task due to: 1) low soft tissue contrast in CT images and 2) large shape an...
Algorithms Tomography, X-Ray Computed Male Humans Neural Networks, Computer Pelvis Image Interpretation, Computer-Assisted Prostatic Neoplasms Prostate
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Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.

IEEE transactions on medical imaging Aug 21, 2018
With an aim to increase the capture range and accelerate the performance of state-of-the-art inter-subject and subject-to-template 3-D rigid registration, we propose deep learning-based methods that are trained to find the 3-D position of arbitrarily...
Infant, Newborn Deep Learning Magnetic Resonance Imaging Fetus Image Processing, Computer-Assisted Brain Pregnancy Female Algorithms Databases, Factual Humans
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Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics.

IEEE transactions on medical imaging Aug 16, 2018
Breast tumor segmentation based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a challenging problem and an active area of research. Particular challenges, similarly as in other segmentation problems, include the class-imbalance...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Female Breast Neoplasms Humans Genomics Neural Networks, Computer
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Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks.

IEEE transactions on medical imaging Aug 16, 2018
Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomography can be used by experts to detect and characterize the lesions. In c...
Plaque, Atherosclerotic Image Interpretation, Computer-Assisted Endovascular Procedures Neural Networks, Computer Humans Tomography, Optical Coherence
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MoDL: Model-Based Deep Learning Architecture for Inverse Problems.

IEEE transactions on medical imaging Aug 13, 2018
We introduce a model-based image reconstruction framework with a convolution neural network (CNN)-based regularization prior. The proposed formulation provides a systematic approach for deriving deep architectures for inverse problems with the arbitr...
Dogs Cats Brain Animals Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Humans Algorithms
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Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning.

IEEE transactions on medical imaging Aug 10, 2018
In portable, 3-D, and ultra-fast ultrasound imaging systems, there is an increasing demand for the reconstruction of high-quality images from a limited number of radio-frequency (RF) measurements due to receiver (Rx) or transmit (Xmit) event sub-samp...
Humans Algorithms Deep Learning Abdomen Carotid Arteries Ultrasonography Image Processing, Computer-Assisted
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FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images.

IEEE transactions on medical imaging Aug 10, 2018
Pulmonary fissure detection in computed tomography (CT) is a critical component for automatic lobar segmentation. The majority of fissure detection methods use feature descriptors that are hand-crafted, low-level, and have local spatial extent. The d...
Humans Radiographic Image Interpretation, Computer-Assisted Lung Deep Learning Lung Neoplasms Algorithms Tomography, X-Ray Computed
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Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.

IEEE transactions on medical imaging Aug 6, 2018
Accelerating the data acquisition of dynamic magnetic resonance imaging leads to a challenging ill-posed inverse problem, which has received great interest from both the signal processing and machine learning communities over the last decades. The ke...
Artifacts Magnetic Resonance Imaging Heart Humans Algorithms Image Processing, Computer-Assisted Neural Networks, Computer
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Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks.

IEEE transactions on medical imaging Aug 6, 2018
Retinopathy of Prematurity (ROP) is a retinal vasproliferative disorder disease principally observed in infants born prematurely with low birth weight. ROP is an important cause of childhood blindness. Although automatic or semi-automatic diagnosis o...
Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Diagnostic Techniques, Ophthalmological Algorithms Retinopathy of Prematurity Infant, Newborn
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Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation.

IEEE transactions on medical imaging Jul 26, 2018
Automated whole breast ultrasound (ABUS) has been widely used as a screening modality for examination of breast abnormalities. Reviewing hundreds of slices produced by ABUS, however, is time consuming. Therefore, in this paper, a fast and effective c...
Breast Neoplasms Algorithms Breast Female Imaging, Three-Dimensional Ultrasonography, Mammary Humans Image Interpretation, Computer-Assisted Neural Networks, Computer
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