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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 1051–1075 of 1207 papers

TitleStatusHype
Single-shot Tomography of Discrete Dynamic ObjectsCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural NetworksCode0
ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal NetworkCode0
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-TrainingCode0
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic StrokeCode0
The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masseCode0
The changing rule of human bone density with aging based on a novel definition and mensuration of bone density with computed tomographyCode0
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationCode0
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomographyCode0
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesCode0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac CycleCode0
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical OutcomesCode0
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray ImagesCode0
Improved 3D Whole Heart Geometry from Sparse CMR SlicesCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule DetectionCode0
Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep LearningCode0
Automatic Pulmonary Lobe Segmentation Using Deep LearningCode0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
ACNN: a Full Resolution DCNN for Medical Image SegmentationCode0
Improving Deep Lesion Detection Using 3D Contextual and Spatial AttentionCode0
Improving image quality of sparse-view lung tumor CT images with U-NetCode0
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural networkCode0
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