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 1151–1175 of 1207 papers

TitleStatusHype
Detecting Electric Devices in 3D Images of Bags—0
Automated detection of underdiagnosed medical conditions via opportunistic imaging—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks—0
Detection and severity classification of COVID-19 in CT images using deep learning—0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation—0
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications—0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray—0
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT—0
Development of pericardial fat count images using a combination of three different deep-learning models—0
DFS-based fast crack detection—0
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning—0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images—0
DiffULD: Diffusive Universal Lesion Detection—0
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT—0
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays—0
DINO-LG: A Task-Specific DINO Model for Coronary Calcium Scoring—0
Direct high-order edge-preserving regularization for tomographic image reconstruction—0
Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom—0
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
Show:102550
← PrevPage 47 of 49Next →

No leaderboard results yet.