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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 376–400 of 1207 papers

TitleStatusHype
Monocular Microscope to CT Registration using Pose Estimation of the Incus for Augmented Reality Cochlear Implant Surgery—0
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
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study—0
QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction—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
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy—0
Evaluating Adversarial Robustness of Low dose CT RecoveryCode0
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography—0
ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal NetworkCode0
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction—0
Learning-based Bone Quality Classification Method for Spinal Metastasis—0
PFCM: Poisson flow consistency models for low-dose CT image denoising—0
Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage—0
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control—0
XProspeCT: CT Volume Generation from Paired X-Rays—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention—0
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