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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 151–175 of 1207 papers

TitleStatusHype
A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scansCode1
Explaining 3D Computed Tomography Classifiers with CounterfactualsCode1
Disentangled Representation Learning in Cardiac Image AnalysisCode1
Quad-Net: Quad-domain Network for CT Metal Artifact ReductionCode1
Body Part Regression for CT ImagesCode1
FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT ReconstructionCode1
From Pixel to Cancer: Cellular Automata in Computed TomographyCode1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literatureCode1
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
Gradient-Based Geometry Learning for Fan-Beam CT ReconstructionCode1
Estimating Epistemic and Aleatoric Uncertainty with a Single ModelCode1
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trialCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT ImagesCode1
Integrative Analysis for COVID-19 Patient Outcome PredictionCode1
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images—0
A deep learning-based method for relative location prediction in CT scan images—0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent—0
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis—0
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study—0
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions—0
A new semi-supervised self-training method for lung cancer prediction—0
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