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 1001–1025 of 1207 papers

TitleStatusHype
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation—0
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis—0
Multi-Contrast Super-Resolution MRI Through a Progressive Network—0
Automatic segmentation of kidney and liver tumors in CT images—0
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization—0
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Multi-Scale Learned Iterative ReconstructionCode0
NLP Automation to Read Radiological Reports to Detect the Stage of Cancer Among Lung Cancer Patients—0
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities—0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study—0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes—0
Improving Deep Lesion Detection Using 3D Contextual and Spatial AttentionCode0
Robust Cochlear Modiolar Axis Detection in CT—0
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction—0
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction—0
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological OperationsCode0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised LearningCode0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography—0
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks—0
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage—0
Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Show:102550
← PrevPage 41 of 49Next →

No leaderboard results yet.