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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 951–975 of 1207 papers

TitleStatusHype
Multiscale Latent Diffusion Model for Enhanced Feature Extraction from Medical Images—0
Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction—0
Multi-stage Deep Learning Artifact Reduction for Pallel-beam Computed Tomography—0
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer—0
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size—0
Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study—0
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions—0
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation—0
Neural Modulation Fields for Conditional Cone Beam Neural Tomography—0
NLP Automation to Read Radiological Reports to Detect the Stage of Cancer Among Lung Cancer Patients—0
Noise Entangled GAN For Low-Dose CT Simulation—0
Semi-supervised learning for generalizable intracranial hemorrhage detection and segmentation—0
Nonconvex L_ 1/2 -Regularized Nonlocal Self-similarity Denoiser for Compressive Sensing based CT Reconstruction—0
Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction—0
Nonperiodic dynamic CT reconstruction using backward-warping INR with regularization of diffeomorphism (BIRD)—0
Novel 3D Binary Indexed Tree for Volume Computation of 3D Reconstructed Models from Volumetric Data—0
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning—0
NSCGCN: A novel deep GCN model to diagnosis COVID-19—0
NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation—0
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction—0
On a Hidden Property in Computational Imaging—0
"One-Shot" Reduction of Additive Artifacts in Medical Images—0
Online learning for X-ray, CT or MRI—0
On Scale Space Radon Transform, Properties and Application in CT Image Reconstruction—0
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