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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
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?Code3
Towards Generalizable Tumor SynthesisCode3
VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed TomographyCode3
Merlin: A Vision Language Foundation Model for 3D Computed TomographyCode3
Soft Masked Mamba Diffusion Model for CT to MRI ConversionCode2
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
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
Vision Foundation Models for Computed TomographyCode2
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
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
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
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style TransferCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-raysCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super ResolutionCode1
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
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
Body Part Regression for CT ImagesCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19Code1
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
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT ImagingCode1
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-MambaCode1
Adaptive Convolutional Dictionary Network for CT Metal Artifact ReductionCode1
Comp2Comp: Open-Source Body Composition Assessment on Computed TomographyCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep LearningCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
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