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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 841–850 of 1207 papers

TitleStatusHype
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation—0
Lung cancer screening with low-dose CT scans using a deep learning approach—0
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks—0
1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)—0
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models—0
2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs—0
3D Aggregated Faster R-CNN for General Lesion Detection—0
3D Anchor-Free Lesion Detector on Computed Tomography Scans—0
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network—0
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