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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 851–875 of 1207 papers

TitleStatusHype
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT ImagingCode1
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee—0
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning—0
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 PatientsCode1
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN—0
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration—0
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
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning—0
Ricci Curvature Based Volumetric Segmentation of the Auditory Ossicles—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss—0
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Structurally aware bidirectional unpaired image to image translation between CT and MR—0
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging—0
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
Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks—0
Limited-angle CT reconstruction via the L1/L2 minimization—0
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction—0
Probabilistic self-learning framework for Low-dose CT Denoising—0
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