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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

Showing 10211030 of 1207 papers

TitleStatusHype
Frequency-Supervised MR-to-CT Image SynthesisCode0
Free-form tumor synthesis in computed tomography images via richer generative adversarial networkCode0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
X-Recon: Learning-based Patient-specific High-Resolution CT Reconstruction from Orthogonal X-Ray ImagesCode0
Separation of Body and Background in Radiological Images. A Practical Python CodeCode0
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement LearningCode0
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundariesCode0
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image ReconstructionCode0
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT ImagesCode0
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine LearningCode0
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