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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
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed TomographyCode3
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
Vision Foundation Models for Computed TomographyCode2
SegVol: Universal and Interactive Volumetric Medical Image SegmentationCode2
Segment anything model 2: an application to 2D and 3D medical imagesCode2
Large Language Model with Region-guided Referring and Grounding for CT Report GenerationCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
Soft Masked Mamba Diffusion Model for CT to MRI ConversionCode2
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST LabelsCode2
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography VolumesCode2
FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor RecognitionCode2
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
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT DenoisingCode1
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
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
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 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
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical ImagesCode1
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
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
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 Part Regression for CT ImagesCode1
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