Diagnosis of normal chest radiographs using an autonomous deep-learning algorithm

L Dillard, M Harrison, TN Morgan, R Tappouni, Q Malik… - Clinical radiology, 2021 - Elsevier
Aim To evaluate the suitability of a deep-learning (DL) algorithm for identifying normality as
a rule-out test for fully automated diagnosis in frontal adult chest radiographs (CXR) in an …

Diagnosis of normal chest radiographs using an autonomous deep-learning algorithm

T Dyer, L Dillard, M Harrison, TN Morgan… - Clinical …, 2021 - inis.iaea.org
[en] Highlights:• Deep Learning can identify normal chest X-rays with high precision.•
Algorithmic miss-rate is superior to study radiologists on normal classification.• Site-specific …

Diagnosis of normal chest radiographs using an autonomous deep-learning algorithm

T Dyer, L Dillard, M Harrison, TN Morgan… - Clinical …, 2021 - clinicalradiologyonline.net
Aim To evaluate the suitability of a deep-learning (DL) algorithm for identifying normality as
a rule-out test for fully automated diagnosis in frontal adult chest radiographs (CXR) in an …

Diagnosis of normal chest radiographs using an autonomous deep-learning algorithm.

T Dyer, L Dillard, M Harrison, TN Morgan… - Clinical …, 2021 - europepmc.org
Aim To evaluate the suitability of a deep-learning (DL) algorithm for identifying normality as
a rule-out test for fully automated diagnosis in frontal adult chest radiographs (CXR) in an …

Diagnosis of normal chest radiographs using an autonomous deep-learning algorithm

T Dyer, L Dillard, M Harrison, TN Morgan… - Clinical …, 2021 - pubmed.ncbi.nlm.nih.gov
Aim To evaluate the suitability of a deep-learning (DL) algorithm for identifying normality as
a rule-out test for fully automated diagnosis in frontal adult chest radiographs (CXR) in an …