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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 1101–1125 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
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network—0
Genaue modellbasierte Identifikation von gynäkologischen Katheterpfaden für die MRT-bildgestützte Brachytherapie—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
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