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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 651–660 of 1207 papers

TitleStatusHype
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction—0
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation—0
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR—0
Radiomic feature selection for lung cancer classifiers—0
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans—0
RadRotator: 3D Rotation of Radiographs with Diffusion Models—0
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks—0
Residual Back Projection With Untrained Neural Networks—0
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection—0
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation—0
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