Comparison of deep convolution and least squares GANs for diabetic retinopathy image synthesis

Author:

Ataş İsaORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference65 articles.

1. Ataş M, Talay A (2022) Development of automatic tree counting software from uav based aerial images with machine learning. arXiv preprint arXiv:2201.02698

2. Doğan Y, Ataş M (2015) Prediction of adaptive exposure time in hyperspectral bands for industrial cameras. In: 2015 23nd signal processing and communications applications conference (SIU), pp 657–660. IEEE

3. Ataş M (2016) Fıstık sınıflandırma sistemi için siirt fıstığı imgelerinden gürbüz özniteliklerin çıkarılması. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi 7(1):93–102

4. Ramzan F, Khan MUG, Rehmat A, Iqbal S, Saba T, Rehman A, Mehmood Z (2020) A deep learning approach for automated diagnosis and multi-class classification of alzheimer’s disease stages using resting-state fMRI and residual neural networks, vol 44. Springer, Berlin, pp 1–16

5. Ataş M, Yeşilnacar Mİ, Demir Yetiş A (2021) Novel machine learning techniques based hybrid models (LR-KNN-ANN and SVM) in prediction of dental fluorosis in groundwater. Springer, pp 1–15

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