13 datasets found

The proposed learning method aims to correct only the main sources of beam-hardening artifacts, while leaving fine data structures intact.

A Convolutional Neural Network (CNN) can generate clinically relevant parametric maps from CT perfusion data in a clinical setting of patients with acute ischemic stroke.

Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography.

A real COVID-19 dataset containing 666 3D chest CT scans acquired from 242 patients who are confirmed with COVID-19.

LoDoPaB-CT

High-quality dataset of CT volumes with dimensions of 512×512×100 voxels and a voxel size of 0.78×0.78×0.625 mm³

Sparse-view CT reconstruction dataset using AAPM Challenge Data and CIRS Phantom Data

The dataset used for training and testing the proposed Data-iterative Optimization Score Model (DOSM) for stable ultra-sparse-view CT reconstruction.

A large-scale lung nodule dataset with pathology- or follow-up-confirmed benign/malignant labels for low-dose and noncontrast CTs.

The 2DeteCT dataset is a large 2D scalable, trainable experimental micro-computed tomography dataset for machine learning.

A dataset for validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images

The MUSIC dataset used in this paper for spectral CT reconstruction.

The dataset used in this paper for spectral CT reconstruction using deep learning.