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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 476–500 of 1207 papers

TitleStatusHype
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse ProblemsCode0
Learning to Distill Global Representation for Sparse-View CTCode0
Classification of lung cancer subtypes on CT images with synthetic pathological priors—0
The changing rule of human bone density with aging based on a novel definition and mensuration of bone density with computed tomographyCode0
Towards Head Computed Tomography Image Reconstruction Standardization with Deep Learning Assisted Automatic Detection—0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction—0
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 models—0
Fast and Stable Diffusion Inverse Solver with History Gradient Update—0
Neural Modulation Fields for Conditional Cone Beam Neural Tomography—0
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement LearningCode0
StyleGAN2-based Out-of-Distribution Detection for Medical Imaging—0
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images—0
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundariesCode0
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer—0
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network—0
RetinexFlow for CT metal artifact reduction—0
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
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation—0
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
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