SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 1207 papers

TitleStatusHype
Novel 3D Binary Indexed Tree for Volume Computation of 3D Reconstructed Models from Volumetric Data—0
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning—0
NSCGCN: A novel deep GCN model to diagnosis COVID-19—0
NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation—0
NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction—0
On a Hidden Property in Computational Imaging—0
"One-Shot" Reduction of Additive Artifacts in Medical Images—0
Online learning for X-ray, CT or MRI—0
On Scale Space Radon Transform, Properties and Application in CT Image Reconstruction—0
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
On the impact of incorporating task-information in learning-based image denoising—0
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks—0
On the Influence of Smoothness Constraints in Computed Tomography Motion Compensation—0
Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study—0
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration—0
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems—0
Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging—0
Optimizing CT Scan Geometries With and Without Gradients—0
Organ At Risk Segmentation with Multiple Modality—0
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN—0
OrthoDoc: Multimodal Large Language Model for Assisting Diagnosis in Computed Tomography—0
Outlier Guided Optimization of Abdominal Segmentation—0
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control—0
Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning—0
Parameter-Efficient Methods for Metastases Detection from Clinical Notes—0
Show:102550
← PrevPage 25 of 49Next →

No leaderboard results yet.