You Only Look Once (YOLO) with Convolution Neural Network (CNN) Classification for Preterm Baby’s Retinopathy Images
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-59097-9_27
Reference11 articles.
1. Vora, P., Shrestha, S.: Detecting diabetic retinopathy using embedded computer vision. Appl. Sci. 10(20), 1–10 (2020)
2. Pao, S.-I., Lin, H.-Z., Chien, K.-H., Tai, M.-C., Chen, J.-T., Lin, G.-M.: Detection of diabetic retinopathy using bichannel convolutional neural network. J. Ophthalmol. 2020, 1–7 (2020)
3. Ai, Z., Huang, X., Fan, Y., Feng, J., Zeng, F., Lu, Y.: DR-IIXRN: detection algorithm of diabetic retinopathy based on deep ensemble learning and attention mechanism. Front. Neuroinform. 15, 1–16 (2021)
4. Gadekallu, T.R., et al.: Early detection of diabetic retinopathy using PCA-firefly based deep learning model. Electronics 9(2), 1–16 (2020)
5. Jinfeng, G., Qummar, S., Junming, Z., Ruxian, Y., Khan, F.: Ensemble framework of deep CNNs for diabetic retinopathy detection. Comput. Intell. Neurosci. 2020, 1–11 (2020)
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