Improved Blood Vessels Segmentation of Infant Retinal Image
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38854-5_15
Reference49 articles.
1. Agrawal, R., Kulkarni, S., Walambe, R., Deshpande, M., Kotecha, K.: Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity. Multimed. Tools Appl. 81(8), 11441–11460 (2022). https://doi.org/10.1007/s11042-022-12396-z
2. Bankhead, P., Scholfield, C.N., McGeown, J.G., Curtis, T.M.: Fast retinal vessel detection and measurement using wavelets and edge location refinement. PLoS ONE 7(3), e32435 (2012)
3. Brown, J.M., et al.: Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. JAMA Ophthalmol. 136(7), 803–810 (2018)
4. Budai, A., Bock, R., Maier, A., Hornegger, J., Michelson, G.: Robust vessel segmentation in fundus images. Int. J. Biomed. Imaging 2013 (2013)
5. Ding, A., Chen, Q., Cao, Y., Liu, B.: Retinopathy of prematurity stage diagnosis using object segmentation and convolutional neural networks. arXiv preprint arXiv:2004.01582 (2020)
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