MACHINE LEARNING ALGORITHMS IN OPHTHALMOLOGY OF PREMATURELY BORN BABIES
DOI:
https://doi.org/10.24867/10BE40JovanovicKeywords:
Retinopthy of permaturity, Convolutional neural networkAbstract
This paper provides insight into machine learning algorithms that can be used to detect Retinopathy of prematurity. Convolutional neural networks were used to solve the problem. The analysis of the obtained results was performed using ResNet50, Xception, and InceptionV3 models. Based on the performed analyzes, it was concluded that the data set used was not good enough and needed to be corrected.
References
[1] O. D. Saugstad, „Oxygen and retinopathy of prematurity,“ Journal of Perinatology, pp. S46-S50, 2006.
[2] M. A. Zarbin, „Artificial Intelligence: Quo Vadis?,“ Translational Vision Science & Technology, t. 9, pp. 1-1, 2020.
[3] J. A. H. a. D. T. Azar, „The AI Revolution and How to Prepare for It,“ Translational Vision Science & Technology, t. 9, pp. 16-16, 2020.
[4] R. J. Y. C. L. Z. J. H. Y. W. W. D. J. Z. Z. Y. Jianyong Wang, „Automated retinopathy of prematurity screening using deep neural networks,“ EBioMedicine, 2018.
[5] Y. C. J. Z. R. J. Z. Y. F. I. Junjie Hu, „Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks,“ Transactions on Medical Imaging, 2019.
[6] W. L. Q.-q. D. C. C. a. Y. S. Yan Tong, „Automated identification of retinopathy of prematurity by image-based deep learning,“ Eye and Vision, 2020.
[7] N. S. A. O. D. S. A. S. J. K. Sanja Knežević, „Analysis of Risk Factors in the Development of Retinopathy of Prematurity,“ 2011.
[8] L. Hardesty, „Neural Networks,“ 4 April 2017. [Na mreži]. Available: https://news.mit.edu/2017/explained-neural-networks-deep-learning-0414. [Poslednji pristup 10 September 2020].
[9] C. Nicholson, „A Beginner's Guide to Neural Networks and Deep Learning,“ Pathmand, [Na mreži]. Available: https://wiki.pathmind.com/neural-network#element. [Poslednji pristup 10 September 2020].
[10] M. Stewart, „Simple Introduction to Convolutional Neural Networks,“ Towrds Data Science, 17 Feb 2019. [Na mreži]. Available: https://towardsdatascience.com/simple-introduction-to-convolutional-neural-networks-cdf8d3077bac. [Poslednji pristup 10 September 2020].
[11] H. Mujtaba, „Introduction to Resnet or Residual Network,“ 9 Sep 2020. [Na mreži]. Available: https://www.mygreatlearning.com/blog/resnet/. [Poslednji pristup 16 September 2020].
[12] F. Chollet, „Xception: Deep Learning with Depthwise Separable Convolutions,“ Computer Vision and Pattern Recognition, 2016.
[13] S.-H. Tsang, „Review: Inception-v3 — 1st Runner Up (Image Classification) in ILSVRC 2015,“ 10 Sep 2018. [Na mreži]. Available: https://medium.com/@sh.tsang/review-inception-v3-1st-runner-up-image-classification-in-ilsvrc-2015-17915421f77c. [Poslednji pristup 16 September 2020].
[2] M. A. Zarbin, „Artificial Intelligence: Quo Vadis?,“ Translational Vision Science & Technology, t. 9, pp. 1-1, 2020.
[3] J. A. H. a. D. T. Azar, „The AI Revolution and How to Prepare for It,“ Translational Vision Science & Technology, t. 9, pp. 16-16, 2020.
[4] R. J. Y. C. L. Z. J. H. Y. W. W. D. J. Z. Z. Y. Jianyong Wang, „Automated retinopathy of prematurity screening using deep neural networks,“ EBioMedicine, 2018.
[5] Y. C. J. Z. R. J. Z. Y. F. I. Junjie Hu, „Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks,“ Transactions on Medical Imaging, 2019.
[6] W. L. Q.-q. D. C. C. a. Y. S. Yan Tong, „Automated identification of retinopathy of prematurity by image-based deep learning,“ Eye and Vision, 2020.
[7] N. S. A. O. D. S. A. S. J. K. Sanja Knežević, „Analysis of Risk Factors in the Development of Retinopathy of Prematurity,“ 2011.
[8] L. Hardesty, „Neural Networks,“ 4 April 2017. [Na mreži]. Available: https://news.mit.edu/2017/explained-neural-networks-deep-learning-0414. [Poslednji pristup 10 September 2020].
[9] C. Nicholson, „A Beginner's Guide to Neural Networks and Deep Learning,“ Pathmand, [Na mreži]. Available: https://wiki.pathmind.com/neural-network#element. [Poslednji pristup 10 September 2020].
[10] M. Stewart, „Simple Introduction to Convolutional Neural Networks,“ Towrds Data Science, 17 Feb 2019. [Na mreži]. Available: https://towardsdatascience.com/simple-introduction-to-convolutional-neural-networks-cdf8d3077bac. [Poslednji pristup 10 September 2020].
[11] H. Mujtaba, „Introduction to Resnet or Residual Network,“ 9 Sep 2020. [Na mreži]. Available: https://www.mygreatlearning.com/blog/resnet/. [Poslednji pristup 16 September 2020].
[12] F. Chollet, „Xception: Deep Learning with Depthwise Separable Convolutions,“ Computer Vision and Pattern Recognition, 2016.
[13] S.-H. Tsang, „Review: Inception-v3 — 1st Runner Up (Image Classification) in ILSVRC 2015,“ 10 Sep 2018. [Na mreži]. Available: https://medium.com/@sh.tsang/review-inception-v3-1st-runner-up-image-classification-in-ilsvrc-2015-17915421f77c. [Poslednji pristup 16 September 2020].
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Published
2020-11-05
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Section
Electrotechnical and Computer Engineering
