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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 291–300 of 1207 papers

TitleStatusHype
X-Ray to CT Rigid Registration Using Scene Coordinate RegressionCode1
View it like a radiologist: Shifted windows for deep learning augmentation of CT imagesCode0
Lightweight Framework for Automated Kidney Stone Detection using coronal CT images—0
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT—0
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registrationCode1
Lung cancer detection from thoracic CT scans using an ensemble of deep learning modelsCode0
Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm—0
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning—0
Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection—0
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