Deep Learning Lends a Hand to Pediatric Radiology
- PMID: 29558310
- PMCID: PMC5881636
- DOI: 10.1148/radiol.2018172898
Deep Learning Lends a Hand to Pediatric Radiology
Comment on
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Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs.Radiology. 2018 Apr;287(1):313-322. doi: 10.1148/radiol.2017170236. Epub 2017 Nov 2. Radiology. 2018. PMID: 29095675
References
-
- Greenspan H, van Ginneken B, Summers RM. Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. IEEE Trans Med Imaging 2016;35(5):1153–1159.
-
- Gulshan V, Peng L, Coram M, et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA 2016;316(22):2402–2410. - PubMed
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- 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 2018;287(1)313–322. - PubMed
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- van Rijn RR, Thodberg HH. Bone age assessment: automated techniques coming of age? Acta Radiol 2013;54(9):1024–1029. - PubMed
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