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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 151–175 of 1207 papers

TitleStatusHype
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super ResolutionCode1
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
Estimating Epistemic and Aleatoric Uncertainty with a Single ModelCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style TransferCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT ImagesCode1
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT TranslationCode1
Tapering Analysis of Airways with BronchiectasisCode1
DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact ReductionCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
Deep 3D Vessel Segmentation based on Cross Transformer NetworkCode1
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating TrainingCode1
Cross-domain Denoising for Low-dose Multi-frame Spiral Computed TomographyCode1
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNITCode0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy ClassificationCode0
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
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