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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 676–700 of 1207 papers

TitleStatusHype
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions—0
SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction—0
Stabilizing Deep Tomographic Reconstruction—0
Stabilizing dual-energy X-ray computed tomography reconstructions using patch-based regularization—0
Stagnant zone segmentation with U-net—0
Stationary Multi-source AI-powered Real-time Tomography (SMART)—0
Statistical models and regularization strategies in statistical image reconstruction of low-dose X-ray CT: a survey—0
Stochastic Primal-Dual Deep Unrolling—0
Stochastic tissue window normalization of deep learning on computed tomography—0
Stroke lesion detection using convolutional neural networks—0
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans—0
Structurally aware bidirectional unpaired image to image translation between CT and MR—0
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising—0
StyleGAN2-based Out-of-Distribution Detection for Medical Imaging—0
Super-Resolution and Sparse View CT Reconstruction—0
Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface—0
Susceptibility of texture measures to noise: an application to lung tumor CT images—0
Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet—0
Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction—0
Synthetic Data as Validation—0
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification—0
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks—0
Towards Clinical Practice in CT-Based Pulmonary Disease Screening: An Efficient and Reliable Framework—0
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution—0
Task-based Generation of Optimized Projection Sets using Differentiable Ranking—0
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