Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning-Reference-Cited by-同舟云学术

Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning

Published:2021-07-08 Issue:4 Volume:34 Page:932-947
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Agrawal Ranjana,Kulkarni Sucheta,Walambe Rahee^ORCID,Kotecha Ketan

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://link.springer.com/content/pdf/10.1007/s10278-021-00477-8.pdf

Reference45 articles.

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2. Honavar, S. G. (2019). Do we need India-specific retinopathy of prematurity screening guidelines? Indian Journal of Ophthalmology, 67(6), 711.-716, 2019

3. Ju, R. H., Zhang, J. Q., Ke, X. Y., Lu, X. H., Liang, L. F., & Wang, W. J. (2013). Spontaneous regression of retinopathy of prematurity: incidence and predictive factors. International Journal of Ophthalmology, 6(4), 475.

4. Singh, H., Kaur, R., Gangadharan, A., Pandey, A. K., Manur, A., Sun, Y., ... & Kumar, P. (2018). Neo-bedside monitoring device for integrated neonatal intensive care unit (iNICU). IEEE Access, 7, 7803-7813.

5. Jefferies, A. L. (2010). Retinopathy of prematurity: recommendations for screening. Paediatrics & Child Health, 15(10), 667-670.

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