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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 951–975 of 1207 papers

TitleStatusHype
Synthetic vascular structure generation for unsupervised pre-training in CTA segmentation tasks—0
Stagnant zone segmentation with U-net—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database—0
Low radiation tomographic reconstruction with and without template information—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction—0
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationCode1
Sparse and redundant signal representations for x-ray computed tomography—0
Stochastic tissue window normalization of deep learning on computed tomography—0
Artificial Intelligence in Glioma Imaging: Challenges and Advances—0
Lung Cancer Detection and Classification based on Image Processing and Statistical Learning—0
Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction—0
Contrast Phase Classification with a Generative Adversarial Network—0
Deep Encoder-decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-view Data—0
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging—0
Deep learning for cardiac image segmentation: A review—0
Field of View Extension in Computed Tomography Using Deep Learning Prior—0
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database—0
Liver Segmentation from Multimodal Images using HED-Mask R-CNN—0
Semi-supervised Multi-domain Multi-task Training for Metastatic Colon Lymph Node Diagnosis From Abdominal CT—0
We Know Where We Don't Know: 3D Bayesian CNNs for Credible Geometric UncertaintyCode0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Organ At Risk Segmentation with Multiple Modality—0
Segmentation Criteria in the Problem of Porosity Determination based on CT Scans—0
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