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 676–700 of 1207 papers

TitleStatusHype
Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals—0
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma—0
Event-based clinical findings extraction from radiology reports with pre-trained language modelCode0
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images—0
Automated segmentation of 3-D body composition on computed tomography—0
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images—0
X-ray Dissectography Enables Stereotography to Improve Diagnostic Performance—0
RadFusion: Benchmarking Performance and Fairness for Multimodal Pulmonary Embolism Detection from CT and EHR—0
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT ReconstructionCode0
CodEx: A Modular Framework for Joint Temporal De-blurring and Tomographic Reconstruction—0
TomoSLAM: factor graph optimization for rotation angle refinement in microtomography—0
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application—0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
"One-Shot" Reduction of Additive Artifacts in Medical Images—0
Stochastic Primal-Dual Deep Unrolling—0
Cross-Vendor CT Image Data Harmonization Using CVH-CT—0
GAN-based disentanglement learning for chest X-ray rib suppression—0
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans—0
Comparing One-step and Two-step Scatter Correction and Density Reconstruction in X-ray CT—0
Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network—0
A Teacher-Student Framework with Fourier Augmentation for COVID-19 Infection Segmentation in CT Images—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Automated airway segmentation by learning graphical structure—0
Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT's Semantic SegmentationCode0
Show:102550
← PrevPage 28 of 49Next →

No leaderboard results yet.