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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 1–50 of 1207 papers

TitleStatusHype
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed TomographyCode4
Towards Generalizable Tumor SynthesisCode3
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?Code3
Merlin: A Vision Language Foundation Model for 3D Computed TomographyCode3
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed TomographyCode3
Vision Foundation Models for Computed TomographyCode2
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography VolumesCode2
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
Large Language Model with Region-guided Referring and Grounding for CT Report GenerationCode2
Soft Masked Mamba Diffusion Model for CT to MRI ConversionCode2
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
Segment anything model 2: an application to 2D and 3D medical imagesCode2
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor RecognitionCode2
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST LabelsCode2
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable RegistrationCode2
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT imagesCode1
Deep 3D Vessel Segmentation based on Cross Transformer NetworkCode1
DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-RaysCode1
CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT TranslationCode1
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style TransferCode1
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super ResolutionCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact ReductionCode1
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2Code1
Critical Evaluation of Deep Neural Networks for Wrist Fracture DetectionCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep LearningCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
AI Opportunistic Coronary Calcium Screening at Veterans Affairs HospitalsCode1
Comp2Comp: Open-Source Body Composition Assessment on Computed TomographyCode1
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner DataCode1
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-MambaCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
A Lung Nodule Dataset with Histopathology-based Cancer Type AnnotationCode1
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray ImagesCode1
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-raysCode1
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 DiagnosisCode1
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
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