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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 1051–1060 of 1207 papers

TitleStatusHype
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning MethodsCode0
Multi-Depth Fusion Network for Whole-Heart CT Image Segmentation—0
Sinogram interpolation for sparse-view micro-CT with deep learning neural network—0
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only—0
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy—0
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks—0
ACNN: a Full Resolution DCNN for Medical Image SegmentationCode0
Automated Segmentation of CT Scans for Normal Pressure HydrocephalusCode0
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example MiningCode0
MRI to CT Translation with GANsCode1
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