PRIMENA ALGORITAMA MAŠINSKOG UČENJA U OFTAMOLOŠKOJ ANALIZI SLIKA OKA KOD PREVREMENO ROĐENIH BEBA
Ključne reči:
Retinopatija kod prevremeno rođenih beba, konvolutivne neuronske mreže
Apstrakt
Ovaj rad daje uvid u algoritme mašinskog učenja koji se mogu koristiti za detekciju Retinopatije kod prevremeno rođenih beba. Za rešavanje problema upotrebljene su konvolutivne neuronske mreže. Izvršena je analiza dobijenih rezultata upotrebom ResNet50, Xception i InceptionV3 modela. Na osnovu izvršenih analiza se došlo do zaključka da skup podatka koji je korišćen nije dobar i da treba da se popravi.
Reference
[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].
Objavljeno
2020-11-05
Sekcija
Elektrotehničko i računarsko inženjerstvo
