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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 291–300 of 1207 papers

TitleStatusHype
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule DetectionCode0
Deep Regression 2D-3D Ultrasound Registration for Liver Motion Correction in Focal Tumor Thermal AblationCode0
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and ClassificationCode0
Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Demographic Predictability in 3D CT Foundation EmbeddingsCode0
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapyCode0
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapyCode0
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule DetectionCode0
Deep Guess acceleration for explainable image reconstruction in sparse-view CTCode0
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MRCode0
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