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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 541–550 of 1207 papers

TitleStatusHype
Near-Exact Recovery for Tomographic Inverse Problems via Deep LearningCode1
GradICON: Approximate Diffeomorphisms via Gradient Inverse ConsistencyCode1
Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CTCode1
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window—0
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT ImagingCode1
Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT ScansCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
Recursive Deformable Image Registration Network with Mutual Attention—0
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation—0
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