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 …

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

R Harkness, AF Frangi, K Zucker… - Frontiers in …, 2024 - research.manchester.ac.uk
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 …

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

R Harkness, AF Frangi, K Zucker… - Frontiers in …, 2024 - europepmc.org
Methods Models were trained on the National COVID-19 Chest Imaging Database (NCCID),
a UK-wide multi-centre dataset from 26 different NHS hospitals and evaluated on …

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

R Harkness, AF Frangi, K Zucker… - Frontiers in …, 2024 - pubmed.ncbi.nlm.nih.gov
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] Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-rays

R Harkness, AF Frangi, K Zucker… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
Methods Models were trained on the National COVID-19 Chest Imaging Database (NCCID),
a UK-wide multi-centre dataset from 26 different NHS hospitals and evaluated on …

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

R Harkness, AF Frangi, K Zucker… - Frontiers in …, 2024 - research.manchester.ac.uk
Multi-centre benchmarking of deep learning models for COVID-19 detection in chest x-rays —
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