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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 381–390 of 1207 papers

TitleStatusHype
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies—0
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction—0
Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information—0
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study—0
Sparse2Inverse: Self-supervised inversion of sparse-view CT data—0
A statistical method for crack detection in 3D concrete images—0
Label-efficient Multi-organ Segmentation Method with Diffusion Model—0
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy—0
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography—0
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