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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 1101–1150 of 1207 papers

TitleStatusHype
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNITCode0
Fast CapsNet for Lung Cancer ScreeningCode0
Endoscopic navigation in the absence of CT imaging—0
PatchFCN for Intracranial Hemorrhage Detection—0
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy ClassificationCode0
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks—0
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule DetectionCode0
Pulmonary Artery–Vein Classification in CT Images Using Deep Learning—0
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising—0
Extracting Lungs from CT Images using Fully Convolutional Networks—0
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning—0
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning—0
Deep learning and its application to medical image segmentation—0
Diagnostic Classification Of Lung Nodules Using 3D Neural NetworksCode0
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification—0
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction—0
Genaue modellbasierte Identifikation von gynäkologischen Katheterpfaden für die MRT-bildgestützte Brachytherapie—0
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network—0
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network—0
Temporal and volumetric denoising via quantile sparse image prior—0
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction—0
Highly accurate model for prediction of lung nodule malignancy with CT scans—0
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and ClassificationCode0
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks—0
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification—0
Anatomical Data Augmentation For CNN based Pixel-wise Classification—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
End-to-End Abnormality Detection in Medical Imaging—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary—0
Detection-aided liver lesion segmentation using deep learningCode0
Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling—0
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion—0
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or NetworkCode0
A deep learning-based method for relative location prediction in CT scan images—0
End-to-end Lung Nodule Detection in Computed Tomography—0
Sparse-View X-Ray CT Reconstruction Using _1 Prior with Learned Transform—0
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes—0
Automated Tumor Segmentation and Brain Mapping for the Tumor Area—0
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks—0
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans—0
An automatic deep learning approach for coronary artery calcium segmentation—0
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image—0
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction—0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
Employing Weak Annotations for Medical Image Analysis Problems—0
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)Code0
Liver lesion segmentation informed by joint liver segmentation—0
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis—0
Low Dose CT Image Reconstruction With Learned Sparsifying Transform—0
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