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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 76–100 of 1207 papers

TitleStatusHype
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image ReconstructionCode1
Evaluation of automated airway morphological quantification for assessing fibrosing lung diseaseCode1
Explaining 3D Computed Tomography Classifiers with CounterfactualsCode1
Critical Evaluation of Deep Neural Networks for Wrist Fracture DetectionCode1
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT imagesCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patientsCode1
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner DataCode1
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension PerspectiveCode1
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
Body Part Regression for CT ImagesCode1
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss FunctionCode1
From Pixel to Cancer: Cellular Automata in Computed TomographyCode1
AI Opportunistic Coronary Calcium Screening at Veterans Affairs HospitalsCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
GradICON: Approximate Diffeomorphisms via Gradient Inverse ConsistencyCode1
Comp2Comp: Open-Source Body Composition Assessment on Computed TomographyCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted LossCode1
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray ImagesCode1
COVID-CT-Dataset: A CT Scan Dataset about COVID-19Code1
A Lung Nodule Dataset with Histopathology-based Cancer Type AnnotationCode1
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
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