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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 226–250 of 1207 papers

TitleStatusHype
A Closer Look at Spatial-Slice Features Learning for COVID-19 DetectionCode0
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT ImagesCode0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray—0
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels—0
Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets—0
COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanismCode0
Simple 2D Convolutional Neural Network-based Approach for COVID-19 DetectionCode0
EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image ReconstructionCode1
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction—0
Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery—0
From Pixel to Cancer: Cellular Automata in Computed TomographyCode1
Low-dose CT Denoising with Language-engaged Dual-space AlignmentCode1
Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis—0
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN—0
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers—0
A dataset of over one thousand computed tomography scans of battery cells—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies—0
Towards Generalizable Tumor SynthesisCode3
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction—0
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study—0
Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information—0
Sparse2Inverse: Self-supervised inversion of sparse-view CT data—0
A statistical method for crack detection in 3D concrete images—0
Label-efficient Multi-organ Segmentation Method with Diffusion Model—0
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