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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 351375 of 1207 papers

TitleStatusHype
Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imagingCode0
Prediction of post-radiotherapy recurrence volumes in head and neck squamous cell carcinoma using 3D U-Net segmentation0
Learning to Distill Global Representation for Sparse-View CTCode0
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse ProblemsCode0
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 ChallengeCode1
Classification of lung cancer subtypes on CT images with synthetic pathological priors0
The changing rule of human bone density with aging based on a novel definition and mensuration of bone density with computed tomographyCode0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN0
Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection0
Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction0
Improving image quality of sparse-view lung tumor CT images with U-NetCode0
Development of pericardial fat count images using a combination of three different deep-learning models0
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
Fast and Stable Diffusion Inverse Solver with History Gradient Update0
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient NetworkCode1
Neural Modulation Fields for Conditional Cone Beam Neural Tomography0
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement LearningCode0
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT ReconstructionCode1
StyleGAN2-based Out-of-Distribution Detection for Medical Imaging0
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images0
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundariesCode0
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in RadiotherapyCode1
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer0
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT ImagesCode1
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network0
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