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 551–560 of 1207 papers

TitleStatusHype
PhD Thesis. Computer-Aided Assessment of Tuberculosis with Radiological Imaging: From rule-based methods to Deep Learning—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity—0
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images—0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
PatchNR: Learning from Very Few Images by Patch Normalizing Flow RegularizationCode1
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic SegmentationCode0
Combining Deep Learning and Adaptive Sparse Modeling for Low-dose CT Reconstruction—0
Global Contrast Masked Autoencoders Are Powerful Pathological Representation LearnersCode1
Show:102550
← PrevPage 56 of 121Next →

No leaderboard results yet.