External validation based on transfer learning for diagnosing atelectasis using portable chest X-rays

X Huang, B Li, T Huang, S Yuan, W Wu, H Yin… - Frontiers in …, 2022 - frontiersin.org
… early using portable chest X-ray, we established a model of bedside chest X-rays for detecting
… the increased accuracy of external validation in this study compared with previous studies. …

CheXternal: Generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings

P Rajpurkar, A Joshi, A Pareek, AY Ng… - Proceedings of the …, 2021 - dl.acm.org
Chest X-ray models are developed and validated using digital … The accuracy of mobile
teleradiology in the evaluation of chest X-rays. Journal of Telemedicine and Telecare (Oct. 2014). …

Deep learning systems for pneumothorax detection on chest radiographs: a multicenter external validation study

YL Thian, D Ng, JTPD Hallinan, P Jagmohan… - Radiology: Artificial …, 2021 - pubs.rsna.org
… To our knowledge, the external testing of 2931 chest radiographs from multiple institutions
represents the largest true external validation study of artificial intelligence algorithms in …

External validation of a deep learning model for predicting bone mineral density on chest radiographs

T Asamoto, Y Takegami, Y Sato, S Takahara… - Archives of …, 2024 - Springer
… the bilateral clavicles and (ii) patients whose chest radiographs were taken using portable
X-ray machines. A total of 50,114 chest radiographs were obtained from 24,666 patients, and 1…

Cov-xdcnn: Deep learning model with external filter for detecting covid-19 on chest x-rays

A Dey - … Conference on Computer, Communication, and Signal …, 2022 - Springer
… In future, the classification may be carried out utilizing a more efficient model and a much
bigger sized chest x-ray image dataset may be considered for training and validating the …

Classification and predictions of lung diseases from chest x-rays using mobilenet v2

A Souid, N Sakli, H Sakli - Applied Sciences, 2021 - mdpi.com
… classification and prediction of lung pathologies of frontal thoracic X-rays using a modified
… and validation accuracy gets much smaller with a training accuracy of 0.953 and a validation

Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study

AG Taylor, C Mielke, J Mongan - PLoS medicine, 2018 - journals.plos.org
… Our objective was to create a large human-annotated dataset of chest X-rays containing …
external datasets, these findings represent a preliminary step towards external validation. …

[PDF][PDF] Development and external validation of an artificial intelligence-based method for scalable chest radiograph diagnosis: a multi-country cross-sectional study

Z Liu, J Xu, C Yin, G Han, Y Che, G Fan, X Li, L Xie… - Research - spj.science.org
… Furthermore, to enhance the robustness of our model, chest radiographs obtained from
mobile 144 phones sourced from open-access databases, along with data from local hospitals …

The performance of deep neural networks in differentiating chest X-rays of COVID-19 patients from other bacterial and viral pneumonias

M Elgendi, MU Nasir, Q Tang, RR Fletcher… - Frontiers in …, 2020 - frontiersin.org
… Moreover, they did not use an external dataset to test … : Dataset 1 for training and validation
and Dataset 2 for testing. … with COVID-19 in portable and routine chest radiographs at varied …

Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system

A Miyazaki, K Ikejima, M Nishio, M Yabuta, H Matsuo… - Scientific Reports, 2023 - nature.com
… Our datasets contained chest X-rays (CXRs) for the following three categories: normal (…
from eight hospitals for the development and external validation of our DL model (26,393 CXRs). …