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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 331–340 of 1207 papers

TitleStatusHype
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
Solving Low-Dose CT Reconstruction via GAN with Local Coherence—0
Design of Novel Loss Functions for Deep Learning in X-ray CT—0
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis—0
Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection—0
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation—0
AutoPET Challenge 2023: Sliding Window-based Optimization of U-NetCode1
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency—0
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonizationCode0
M3Dsynth: A dataset of medical 3D images with AI-generated local manipulationsCode0
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