Your mileage may vary: impact of data input method for a deep learning bone age app’s predictions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Link
https://link.springer.com/content/pdf/10.1007/s00256-021-03897-3.pdf
Reference19 articles.
1. Halabi SS, Prevedello LM, Kalpathy-Cramer J, Mamonov AB, Bilbily A, Cicero M, et al. The RSNA pediatric bone age machine learning challenge. Radiology [Internet]. Radiological Society of North America; 2019 [cited 2019 Nov 8];290:498–503. Available from: http://www.ncbi.nlm.nih.gov/pubmed/30480490.
2. Larson DB, Chen MC, Lungren MP, Halabi SS, Stence NV, Langlotz CP. Performance of a deep-learning neural network model in assessing skeletal maturity on pediatric hand radiographs. Radiology [Internet]. Radiological Society of North America; 2017 [cited 2018 Jan 28];287:170236. Available from: http://pubs.rsna.org/doi/https://doi.org/10.1148/radiol.2017170236.
3. Natarajan S, Jain A, Krishnan R, Rogye A, Sivaprasad S. Diagnostic accuracy of community-based diabetic retinopathy screening with an offline artificial intelligence system on a smartphone. JAMA Ophthalmol [Internet]. 2019 [cited 2019 Nov 7];137:1182. Available from: http://www.ncbi.nlm.nih.gov/pubmed/31393538.
4. Rajalakshmi R, Subashini R, Anjana RM, Mohan V. Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence. Eye [Internet]. 2018 [cited 2019 Nov 8];32:1138–44. Available from: http://www.ncbi.nlm.nih.gov/pubmed/29520050.
5. 16 Bit [Internet]. [cited 2019 Nov 8]. Available from: https://www.16bit.ai/bone-age.
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