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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 221–230 of 1207 papers

TitleStatusHype
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Reconstructing classes of 3D FRI signals from sampled tomographic projections at unknown angles—0
Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems—0
A Closer Look at Spatial-Slice Features Learning for COVID-19 DetectionCode0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray—0
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT ImagesCode0
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels—0
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets—0
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