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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 1091–1100 of 1207 papers

TitleStatusHype
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction—0
Clearing noisy annotations for computed tomography imagingCode0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
Computed Tomography Image Enhancement using 3D Convolutional Neural Network—0
Stroke lesion detection using convolutional neural networks—0
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST—0
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry—0
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion DetectionCode0
CT-image Super Resolution Using 3D Convolutional Neural Network—0
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