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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 551–600 of 1207 papers

TitleStatusHype
Deep Learning Approach for Early Stage Lung Cancer Detection—0
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imagingCode0
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection—0
Classification of Brain Hemorrhage Using Deep Learning from CT Scan ImagesCode0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Simulation toolkit for digital material characterization of large image-based microstructuresCode0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Improving mesh-based motion compensation by using edge adaptive graph-based compensated wavelet lifting for medical data sets—0
Graph-based compensated wavelet lifting for 3-D+t medical CT data—0
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data—0
Integrating features from lymph node stations for metastatic lymph node detection—0
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset—0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
Kidney and Kidney Tumour Segmentation in CT Images—0
2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs—0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm—0
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine LearningCode0
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-TrainingCode0
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CTCode0
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning—0
On the impact of incorporating task-information in learning-based image denoising—0
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction—0
Active CT Reconstruction with a Learned Sampling Policy—0
Unsupervised denoising for sparse multi-spectral computed tomography—0
Self-supervised Physics-based Denoising for Computed Tomography—0
Data-Driven Computational Imaging for Scientific DiscoveryCode0
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Residual Back Projection With Untrained Neural Networks—0
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency GuidanceCode0
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ SegmentationCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
NSCGCN: A novel deep GCN model to diagnosis COVID-19—0
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver—0
Evaluating the Performance of StyleGAN2-ADA on Medical Images—0
COVID-19 Detection Using Segmentation, Region Extraction and Classification PipelineCode0
LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation—0
Evaluation of importance estimators in deep learning classifiers for Computed Tomography—0
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative ModelsCode0
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation—0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural NetworksCode0
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator—0
Label Refinement Network from Synthetic Error Augmentation for Medical Image SegmentationCode0
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary StudyCode0
Variable Imaging Projection Cloud Scattering TomographyCode0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosisCode0
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