12 datasets found

COVID-CT dataset that has been used in this study is publicly available. There are 349 images of COVID-19 collected from 216 patients. The non-COVID-19 data contains 397 samples.

COVIDx dataset, which is an ongoing project, i.e., the number of available examples may change over time. The snapshot of COVIDx used in this paper consists of 8851 CXR images...

The QaTa-Cov19 dataset contains 6200 X-ray images for Covid-19 recognition.

The proposed approach is based on the CSEN that can be seen as a bridge between Deep Learning models and representation-based methods. CSEN uses both a dictionary and a set of...

A large DNN, containing 3 stacked modules. The segmentation module is an U-Net, trained beforehand to receive X-rays and output segmentation masks.

The dataset was created by collecting metadata from the MediSys system and constructing parallel corpora from Covid-19 news.

The dataset was created by collecting an updated version of the European Medicines Agency (EMEA) corpus and applying new methods for text extraction from pdf files, sentence...

The dataset was created by collecting an initial collection of parallel corpora in health and medicine domains from well-known web sources and enriching them with identified...

The Covid-19 MLIA @ Eval initiative consists of three Natural Language Processing tasks: information extraction, multilingual semantic search and machine translation. The goal...

COVID-19 x-ray image dataset including 392 COVID-19 postero-anterior chest x-ray images annotated with severity level.

CheXNet dataset

CoronaHack Chest X-Ray Dataset