AIMC Journal:
IEEE transactions on medical imaging

Showing 531 to 540 of 696 articles

Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.

IEEE transactions on medical imaging Nov 14, 2018
Medical datasets are often highly imbalanced with over-representation of prevalent conditions and poor representation of rare medical conditions. Due to privacy concerns, it is challenging to aggregate large datasets between health care institutions....
Image Interpretation, Computer-Assisted Radiography, Thoracic Respiratory Tract Diseases Databases, Factual Adult Humans Neural Networks, Computer
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Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.

IEEE transactions on medical imaging Nov 13, 2018
The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen diseases. Automated segmentation methods are essential to efficiently quantify splenomegaly from clinically acquired abdominal...
Image Interpretation, Computer-Assisted Spleen Splenomegaly Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Neural Networks, Computer
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Data-Driven Elasticity Imaging Using Cartesian Neural Network Constitutive Models and the Autoprogressive Method.

IEEE transactions on medical imaging Nov 5, 2018
Quasi-static elasticity imaging techniques rely on model-based mathematical inverse methods to estimate mechanical parameters from force-displacement measurements. These techniques introduce simplifying assumptions that preclude exploration of unknow...
Databases, Factual Computer Simulation Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Elastic Modulus Elasticity Imaging Techniques Phantoms, Imaging Finite Element Analysis
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Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images.

IEEE transactions on medical imaging Nov 2, 2018
Histopathological examination is today's gold standard for cancer diagnosis. However, this task is time consuming and prone to errors as it requires a detailed visual inspection and interpretation of a pathologist. Digital pathology aims at alleviati...
Histocytochemistry Algorithms Colon Unsupervised Machine Learning Image Interpretation, Computer-Assisted Humans Deep Learning
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Learning-Based Quality Control for Cardiac MR Images.

IEEE transactions on medical imaging Nov 1, 2018
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the operator to correctly tune the acquisition parameters to the subject being scanned and on the potential occurrence of imaging artifacts, such as cardiac...
Machine Learning Algorithms Heart Humans Quality Control Magnetic Resonance Imaging, Cine Movement Image Interpretation, Computer-Assisted Cardiac Imaging Techniques
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HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation.

IEEE transactions on medical imaging Oct 30, 2018
Recently, dense connections have attracted substantial attention in computer vision because they facilitate gradient flow and implicit deep supervision during training. Particularly, DenseNet that connects each layer to every other layer in a feed-fo...
Brain Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Multimodal Imaging Imaging, Three-Dimensional Neural Networks, Computer
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Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks.

IEEE transactions on medical imaging Oct 26, 2018
Deformable image registration can be time consuming and often needs extensive parameterization to perform well on a specific application. We present a deformable registration method based on a 3-D convolutional neural network, together with a framewo...
Lung Imaging, Three-Dimensional Supervised Machine Learning Humans Algorithms Neural Networks, Computer Tomography, X-Ray Computed
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RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations.

IEEE transactions on medical imaging Oct 25, 2018
Accurate surgery duration estimation is necessary for optimal OR planning, which plays an important role in patient comfort and safety as well as resource optimization. It is, however, challenging to preoperatively predict surgery duration since it v...
Coronary Artery Bypass Laparoscopy Cholecystectomy Video Recording Humans Image Processing, Computer-Assisted Deep Learning Operative Time Databases, Factual
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Recognizing Brain States Using Deep Sparse Recurrent Neural Network.

IEEE transactions on medical imaging Oct 23, 2018
Brain activity is a dynamic combination of different sensory responses and thus brain activity/state is continuously changing over time. However, the brain's dynamical functional states recognition at fast time-scales in task fMRI data have been rare...
Humans Neural Networks, Computer Magnetic Resonance Imaging Connectome Brain Image Interpretation, Computer-Assisted
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Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.

IEEE transactions on medical imaging Oct 22, 2018
The identification and quantification of markers in medical images is critical for diagnosis, prognosis, and disease management. Supervised machine learning enables the detection and exploitation of findings that are known a priori after annotation o...
Unsupervised Machine Learning Tomography, Optical Coherence Macular Degeneration Image Interpretation, Computer-Assisted Retina Algorithms Humans Biomarkers ROC Curve
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