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Computed Tomography (CT)

The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

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Showing 1151–1200 of 1207 papers

TitleStatusHype
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
Topic Modeling for Classification of Clinical Reports—0
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks—0
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach—0
Early Experiences with Crowdsourcing Airway Annotations in Chest CT—0
Volume Calculation of CT lung Lesions based on Halton Low-discrepancy Sequences—0
Compression Fractures Detection on CT—0
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising—0
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image ReconstructionCode0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction—0
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MRCode0
Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology—0
Robust and fully automated segmentation of mandible from CT scans—0
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation—0
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling—0
Transfer learning for multi-center classification of chronic obstructive pulmonary disease—0
Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction—0
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge—0
Medical Image Synthesis with Context-Aware Generative Adversarial Networks—0
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study—0
Computer Aided Detection of Oral Lesions on CT ImagesCode0
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis—0
Validation of Tsallis Entropy In Inter-Modality Neuroimage Registration—0
Reliability of PET/CT shape and heterogeneity features in functional and morphological components of Non-Small Cell Lung Cancer tumors: a repeatability analysis in a prospective multi-center cohort—0
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging—0
Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network—0
Whole-brain substitute CT generation using Markov random field mixture models—0
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases—0
Susceptibility of texture measures to noise: an application to lung tumor CT images—0
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images—0
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes—0
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction—0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?—0
Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests—0
Direct high-order edge-preserving regularization for tomographic image reconstruction—0
Fast Segmentation of Left Ventricle in CT Images by Explicit Shape Regression using Random Pixel Difference Features—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
Anatomy-specific classification of medical images using deep convolutional nets—0
Statistical models and regularization strategies in statistical image reconstruction of low-dose X-ray CT: a survey—0
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans—0
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications—0
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation—0
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans—0
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations—0
Evaluation of Scan-Line Optimization for 3D Medical Image Registration—0
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