On the composition and limitations of publicly available covid-19 x-ray imaging datasets

BGS Cruz, J Sölter, MN Bossa, AD Husch - arXiv preprint arXiv …, 2020 - arxiv.org
… While these great initiatives allow for fast transfers of information during this emergency times…
Number of samples in the agchung/Actualmed dataset, for the full dataset (left) and for each …

Validating deep learning inference during chest X-ray classification for COVID-19 screening

R Sadre, B Sundaram, S Majumdar, D Ushizima - Scientific reports, 2021 - nature.com
dataset comprising thousands of chest X-ray (CXR) images 13 and the largest number of
publicly available COVID-19X -ray Dataset Initiative, (3) the ActualMed COVID-19 Chest

A multi-expert system to detect covid-19 cases in x-ray images

V Guarrasi, NC D'Amico, R Sicilia… - 2021 IEEE 34th …, 2021 - ieeexplore.ieee.org
X-ray Dataset Initiative [33]; (iv) non-COVID-19 pneumonia patients and non-pneumonia …
dataset [18]; (v) COVID-19 patients from the COVID-19 radiography dataset [26]. The final …

Artificial intelligence applied to chest X-ray images for the automatic detection of COVID-19. A thoughtful evaluation approach

JD Arias-Londono, JA Gomez-Garcia… - Ieee …, 2020 - ieeexplore.ieee.org
… coming from three open data collection initiatives: HM Hospitales COVID [40], BIMCV-COVID19
[41] and Actualmed COVID-19 [42] chest XR datasets. The final result of the compilation …

Explainable COVID-19 detection on chest X-rays using an end-to-end deep convolutional neural network architecture

M Chetoui, MA Akhloufi, B Yousefi… - Big Data and Cognitive …, 2021 - mdpi.com
… The NIH [34] Chest X-ray dataset is comprised of 112,120 … TP cases of COVID-19 detected
in CIDR dataset, the heatmap … positive cases in COVID-19 RADIOGRAPHY dataset, and the …

Efficient-CovidNet: deep learning based COVID-19 detection from chest x-ray images

Y Chaudhary, M Mehta, R Sharma… - … conference on e …, 2021 - ieeexplore.ieee.org
… The dataset chosen to train and test our model is the COVIDxv3 (… dataset for Chest X-Ray
images. It contains a total of 13,975 … Chung, ”Actualmed COVID-19 chest x-ray data initiative,” …

A deep learning approach for the detection of COVID-19 from chest X-Ray images using convolutional neural networks

A Saxena, SP Singh - arXiv preprint arXiv:2201.09952, 2022 - arxiv.org
… The dataset also comprises images from leading medical databases including COVID-19
Chest X-ray Dataset Initiative[45]ActualMed COVID-19 Chest X-ray Dataset Initiative[46], …

COVID-19 prognosis using limited chest X-ray images

AK Mondal - Applied Soft Computing, 2022 - Elsevier
… Further, we compute attention maps between the global and the local features of the
backbone convolutional network while finetuning using a limited COVID-19 CXR dataset. We …

Detection of COVID-19 from chest x-ray images using transfer learning

J Manokaran, F Zabihollahy… - Journal of medical …, 2021 - spiedigitallibrary.org
… 1 COVID Chest X-ray Dataset, 40 25% from the Actualmed COVID-19 Chest X-ray Dataset,
… as we are detecting the COVID-19 cases which is a minority class in the dataset considered, …

[HTML][HTML] Public covid-19 x-ray datasets and their impact on model bias–a systematic review of a significant problem

BG Santa Cruz, MN Bossa, J Sölter, AD Husch - Medical image analysis, 2021 - Elsevier
… The main aim of the initiative is to standardise and facilitate the review process to raise the
… on the presence of COVID-19 (ACTUALMED, RICORD), over quantitatively rated severity of …