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 1051–1060 of 1207 papers

TitleStatusHype
Lung CT Imaging Sign Classification through Deep Learning on Small Data—0
Detecting Lesion Bounding Ellipses With Gaussian Proposal NetworksCode0
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics—0
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning MethodsCode0
Multi-Depth Fusion Network for Whole-Heart CT Image Segmentation—0
Sinogram interpolation for sparse-view micro-CT with deep learning neural network—0
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A novel approach to train Convolutional Neural Networks on lung CT scans using binary labels only—0
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy—0
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks—0
ACNN: a Full Resolution DCNN for Medical Image SegmentationCode0
Show:102550
← PrevPage 106 of 121Next →

No leaderboard results yet.