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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 81–90 of 1207 papers

TitleStatusHype
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?Code3
Vision Foundation Models for Computed TomographyCode2
Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study—0
Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac CycleCode0
End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT—0
Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis—0
Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis—0
Hybrid deep convolution model for lung cancer detection with transfer learning—0
GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCTCode0
SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction—0
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