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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 431–440 of 1207 papers

TitleStatusHype
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning—0
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications—0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray—0
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT—0
Development of pericardial fat count images using a combination of three different deep-learning models—0
DFS-based fast crack detection—0
Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks—0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
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