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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 11261150 of 1207 papers

TitleStatusHype
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scansCode0
Learning to Distill Global Representation for Sparse-View CTCode0
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial NetworksCode0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
Towards synthetic generation of realistic wooden logsCode0
Data-Driven Computational Imaging for Scientific DiscoveryCode0
A Cone-Beam X-Ray CT Data Collection designed for Machine LearningCode0
Towards Universal Text-driven CT Image SegmentationCode0
3D Solid Spherical Bispectrum CNNs for Biomedical Texture AnalysisCode0
Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imagingCode0
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT ClassificationCode0
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic SegmentationCode0
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTsCode0
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided PromptingCode0
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic DataCode0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT ReconstructionCode0
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and LocalizationCode0
A Closer Look at Spatial-Slice Features Learning for COVID-19 DetectionCode0
Web Diagnosis for COVID-19 and Pneumonia Based on Computed Tomography Scans and X-raysCode0
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT ImagesCode0
Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency GuidanceCode0
We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric UncertaintyCode0
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