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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 1176–1200 of 1207 papers

TitleStatusHype
Display Field-Of-View Agnostic Robust CT Kernel Synthesis Using Model-Based Deep Learning—0
Distant Domain Transfer Learning for Medical Imaging—0
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury—0
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction—0
Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration—0
DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection—0
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
Unsupervised domain adaptation based COVID-19 CT infection segmentation network—0
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance—0
DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction—0
Dual-branch residual network for lung nodule segmentation—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging—0
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia—0
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography—0
DuoLift-GAN:Reconstructing CT from Single-view and Biplanar X-Rays with Generative Adversarial Networks—0
Dynamic Angle Selection in X-Ray CT: A Reinforcement Learning Approach to Optimal Stopping—0
Early Experiences with Crowdsourcing Airway Annotations in Chest CT—0
Edge Projection-Based Adaptive View Selection for Cone-Beam CT—0
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling—0
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