17 datasets found

Deep learning-based dataset for computer-aided detection of medical images

A large-scale CT-derived µ-map dataset for training and evaluation of low-count PET attenuation map generation

A population-prior generation machine for generating population prior information for low-count PET attenuation map generation

Automated segmentation of vertebrae on lateral chest radiography using deep learning

The dataset is composed of a consecutive series of patients admitted to our hospital with a confirmed diagnosis of aneurysmal subarachnoid hemorrhage (SAH) between 2016 and 2022.

Liver steatosis segmentation dataset with deep learning methods

The ActualMed COVID-19 Chest X-ray Dataset Initiative is a collection of 13,975 CXR images of around 13,870 infected patients.

The COVID-19 Chest X-Ray Dataset Initiative is a collection of 13,975 CXR images of around 13,870 infected patients.

The dataset of chest x-rays used in this paper come from COVID-19 image data collection from Joseph Paul Cohen and Paul Morrison and Lan Dao. This dataset contains x-rays of...

The dataset used to train the proposed model is a combination of two open-source datasets called COVID-19 image data collection and Covid-Net.

BIMCV-COVID19 Dataset

The dataset for COVID-19 detection from X-ray images of the chest.

The dataset used for COVID-19 segmentation from CT images, using deep learning and imaging for delineating COVID-19 infection in lungs.

MIMIC-III is a large, publicly available clinical database containing information from the Medical Information Mart for Intensive Care III. It is used for various clinical...

NIH CXR database for lung segmentation, including CXR images with severe abnormal findings.

Montgomery database for lung segmentation, including CXR images with small- or medium-sized abnormal findings.

JSRT database for lung segmentation, including CXR images with small- or medium-sized abnormal findings.