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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 376–400 of 1207 papers

TitleStatusHype
RetinexFlow for CT metal artifact reduction—0
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private dataCode1
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
Online learning for X-ray, CT or MRI—0
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation—0
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-LabelingCode1
A Peer-to-peer Federated Continual Learning Network for Improving CT Imaging from Multiple Institutions—0
Multi-Contrast Computed Tomography Atlas of Healthy Pancreas—0
Active Learning on Medical Image—0
Introduction of Medical Imaging Modalities—0
XTransCT: Ultra-Fast Volumetric CT Reconstruction using Two Orthogonal X-Ray Projections for Image-guided Radiation Therapy via a Transformer Network—0
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume—0
HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text—0
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC—0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy—0
Solitary pulmonary nodules prediction for lung cancer patients using nomogram and machine learning—0
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT ScansCode0
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT—0
Segmentation of Aortic Vessel Tree in CT Scans with Deep Fully Convolutional Networks—0
Model-driven CT reconstruction algorithm for nano-resolution X-ray phase contrast imaging—0
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz—0
Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs—0
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