Validation of a Deep Learning Model to aid in COVID-19 Detection from Digital Chest Radiographs

P Ajmera, A Kharat, S Khaladkar, T Gupte, R Pant… - medRxiv, 2022 - medrxiv.org
Introduction Using artificial intelligence in imaging practice helps ensure study list
reprioritization, prompt attention to urgent studies, and reduces the reporting turn-around …

Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-rays

R Harkness, AF Frangi, K Zucker… - Frontiers in radiology, 2024 - frontiersin.org
Introduction This study is a retrospective evaluation of the performance of deep learning
models that were developed for the detection of COVID-19 from chest x-rays, undertaken …

[HTML][HTML] Comparing a deep learning model's diagnostic performance to that of radiologists to detect Covid-19 features on chest radiographs

S Krishnamoorthy, S Ramakrishnan… - Indian Journal of …, 2021 - thieme-connect.com
Background: Whether the sensitivity of Deep Learning (DL) models to screen chest
radiographs (CXR) for CoVID-19 can approximate that of radiologists, so that they can be …

Evaluation of multiple open-source deep learning models for detecting and grading COVID-19 on chest radiographs

A Risman, M Trelles… - Journal of Medical …, 2021 - spiedigitallibrary.org
Purpose: Chest x-rays are complex to report accurately. Viral pneumonia is often subtle in its
radiological appearance. In the context of the COVID-19 pandemic, rapid triage of cases and …

Evaluation of Contemporary Convolutional Neural Network Architectures for Detecting COVID-19 from Chest Radiographs

N Albert - arXiv preprint arXiv:2007.01108, 2020 - arxiv.org
Interpreting chest radiograph, a. ka. chest x-ray, images is a necessary and crucial
diagnostic tool used by medical professionals to detect and identify many diseases that may …

COVID‐19 deep learning prediction model using publicly available radiologist‐adjudicated chest x‐ray images as training data: preliminary findings

MZ Che Azemin, R Hassan… - International Journal …, 2020 - Wiley Online Library
The key component in deep learning research is the availability of training data sets. With a
limited number of publicly available COVID‐19 chest X‐ray images, the generalization and …

A comprehensive review of deep learning-based methods for COVID-19 detection using chest X-ray images

SS Alahmari, B Altazi, J Hwang, S Hawkins… - Ieee …, 2022 - ieeexplore.ieee.org
The novel coronavirus disease 2019 (COVID-19) added tremendous pressure on healthcare
services worldwide. COVID-19 early detection is of the utmost importance to control the …

Assessing clinical applicability of covid-19 detection in chest radiography with deep learning

J Pedrosa, G Aresta, C Ferreira, C Carvalho, J Silva… - Scientific Reports, 2022 - nature.com
Abstract The coronavirus disease 2019 (COVID-19) pandemic has impacted healthcare
systems across the world. Chest radiography (CXR) can be used as a complementary …

The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays

R Harkness, G Hall, AF Frangi… - MEDINFO 2021: One …, 2022 - ebooks.iospress.nl
Since the emergence of COVID-19, deep learning models have been developed to identify
COVID-19 from chest X-rays. With little to no direct access to hospital data, the AI community …

Detection of COVID-19 from chest radiographs: comparison of four end-to-end trained deep learning models

SS Paima, N Hasanzadeh, A Jodeiri… - 2020 27th National …, 2020 - ieeexplore.ieee.org
The coronavirus disease (COVID-19), which has been declared as a pandemic by the World
Health Organization (WHO), is an infectious disease killing more than 660,000 people …