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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 176–200 of 1207 papers

TitleStatusHype
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesCode0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT ScansCode0
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule NetworkCode0
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT ImagesCode0
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small dataCode0
How to Register a Live onto a Liver ? Partial Matching in the Space of VarifoldsCode0
Anatomy-specific classification of medical images using deep convolutional netsCode0
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ SegmentationCode0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNITCode0
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation StudyCode0
Automated Segmentation of CT Scans for Normal Pressure HydrocephalusCode0
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological OperationsCode0
Frequency-Supervised MR-to-CT Image SynthesisCode0
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCTCode0
A model-guided deep network for limited-angle computed tomographyCode0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
Fluid registration between lung CT and stationary chest tomosynthesis imagesCode0
Free-form tumor synthesis in computed tomography images via richer generative adversarial networkCode0
Fast CapsNet for Lung Cancer ScreeningCode0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
Vision Transformers increase efficiency of 3D cardiac CT multi-label segmentationCode0
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural NetworksCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
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