Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases

C Wang, J Ma, S Zhang, J Shao, Y Wang… - NPJ Digital …, 2022 - nature.com
… actual deployment in the scenario where CT devices are less available. Further we deployed
… of major thoracic diseases based on chest radiographs. The multi-label abnormality results …

Risk of bias in chest radiography deep learning foundation models

B Glocker, C Jones, M Roschewitz… - Radiology: Artificial …, 2023 - pubs.rsna.org
… of data from a total of 42,884 patients with 127,118 chest radiographs divided into three
sets for training (76,205 radiographs), validation (12,673 radiographs) and testing (38,240 …

Automated chest radiography and mass systematic screening for tuberculosis

F Madhani, RA Maniar, A Burfat… - … of Tuberculosis and …, 2020 - ingentaconnect.com
… -aided detection of pulmonary tuberculosis in chest radiographs: a validation study from sub-…
on chest radiography among private sector patients in Pakistan. Sci Rep 2018; 8(1): 12339. …

Performance of a deep learning algorithm compared with radiologic interpretation for lung cancer detection on chest radiographs in a health screening population

JH Lee, HY Sun, S Park, H Kim, EJ Hwang, JM Goo… - Radiology, 2020 - pubs.rsna.org
chest radiograph, the chest radiograph was excluded because we could not guarantee whether
there was lung cancer on the chest radiograph… All chest radiographs in the validation test …

… radiographs: a novel approach achieving expert radiologist-level performance using a deep convolutional neural network trained on digital reconstructed radiographs …

EJM Barbosa Jr, WB Gefter, FC Ghesu, S Liu… - Investigative …, 2021 - journals.lww.com
… To avoid overfitting, we used a validation dataset containing 182 DRRs to select the
model with early-stopping. The processing time of the system to compute POa, including …

Estimating the accuracy of dual energy chest radiography for coronary calcium detection with lateral or anteroposterior orientations

SS Hsieh, MJ Budoff - Medical physics, 2022 - Wiley Online Library
… The fraction of CT CAC scores in the validation set of 0, 1–99… Two readers read the validation
set in a blinded, randomized … could be excluded in clinical deployment of DE CXR with …

Automated abnormality classification of chest radiographs using deep convolutional neural networks

YX Tang, YB Tang, Y Peng, K Yan, M Bagheri… - NPJ digital …, 2020 - nature.com
… and performed seven-fold cross-validation on 11,652 chest radiographs (a subset of the
first … When deploying the trained model on the NIH dataset to the external dataset (Indiana …

Deep learning to estimate lung disease mortality from chest radiographs

J Weiss, VK Raghu, D Bontempi, DC Christiani… - Nature …, 2023 - nature.com
… In this context, CXR-Lung-Risk could be deployed to automatically notify the treating … This
cloud-based instance facilitates future validation studies and allows users with minimal coding …

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph

PC Kuo, CC Tsai, DM López, A Karargyris… - NPJ digital …, 2021 - nature.com
… Again, we reached similar results as those in internal or external validation. The recalibrated
model (… and the recalibrated model has potential to be deployed to the real clinical works. …

Model development for pneumonia detection from chest radiograph using transfer learning

OA Fagbuagun, O Nwankwo… - TELKOMNIKA …, 2022 - telkomnika.uad.ac.id
… have aroused research interests and has been deployed for the diagnosis of lung nodule
[29… The validation set were 16 images while the test set were 624 images. Labels were given to …