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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 1011–1020 of 1207 papers

TitleStatusHype
Domain specific cues improve robustness of deep learning based segmentation of ct volumes—0
Improving Deep Lesion Detection Using 3D Contextual and Spatial AttentionCode0
Robust Cochlear Modiolar Axis Detection in CT—0
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction—0
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction—0
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological OperationsCode0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
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