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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 226–250 of 1207 papers

TitleStatusHype
Evaluating Adversarial Robustness of Low dose CT RecoveryCode0
Event-based clinical findings extraction from radiology reports with pre-trained language modelCode0
Learning to Distill Global Representation for Sparse-View CTCode0
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End RegistrationCode0
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic SegmentationCode0
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosisCode0
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or NetworkCode0
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
4D Cloud Scattering TomographyCode0
Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT ClassificationCode0
End-to-end reconstruction meets data-driven regularization for inverse problemsCode0
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural networkCode0
A Cone-Beam X-Ray CT Data Collection designed for Machine LearningCode0
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary StudyCode0
MD-IQA: Learning Multi-scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CTCode0
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural NetworksCode0
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre studyCode0
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT ReconstructionCode0
Enhancing COVID-19 Severity Analysis through Ensemble MethodsCode0
Classification of Brain Hemorrhage Using Deep Learning from CT Scan ImagesCode0
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy ClassificationCode0
Fast CapsNet for Lung Cancer ScreeningCode0
D-Net: Siamese based Network with Mutual Attention for Volume AlignmentCode0
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