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 1126–1150 of 1207 papers

TitleStatusHype
Anatomical Data Augmentation For CNN based Pixel-wise Classification—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
End-to-End Abnormality Detection in Medical Imaging—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary—0
Detection-aided liver lesion segmentation using deep learningCode0
Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling—0
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion—0
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or NetworkCode0
A deep learning-based method for relative location prediction in CT scan images—0
End-to-end Lung Nodule Detection in Computed Tomography—0
Sparse-View X-Ray CT Reconstruction Using _1 Prior with Learned Transform—0
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes—0
Automated Tumor Segmentation and Brain Mapping for the Tumor Area—0
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks—0
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans—0
An automatic deep learning approach for coronary artery calcium segmentation—0
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image—0
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction—0
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CTCode0
Employing Weak Annotations for Medical Image Analysis Problems—0
Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs)Code0
Liver lesion segmentation informed by joint liver segmentation—0
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis—0
Low Dose CT Image Reconstruction With Learned Sparsifying Transform—0
Show:102550
← PrevPage 46 of 49Next →

No leaderboard results yet.