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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 981–990 of 1207 papers

TitleStatusHype
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach—0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge—0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Automatic segmentation of kidney and liver tumors in CT images—0
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