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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 126–150 of 1207 papers

TitleStatusHype
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT PriorsCode1
Critical Evaluation of Deep Neural Networks for Wrist Fracture DetectionCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
Suppression of Correlated Noise with Similarity-based Unsupervised Deep LearningCode1
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT DenoisingCode1
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
TorchRadon: Fast Differentiable Routines for Computed TomographyCode1
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep LearningCode1
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Learned convex regularizers for inverse problemsCode1
Classification of Multiple Diseases on Body CT Scans using Weakly Supervised Deep LearningCode1
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT ImagingCode1
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 PatientsCode1
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss NetworkCode1
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer LearningCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
Keypoints Localization for Joint Vertebra Detection and Fracture Severity QuantificationCode1
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
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