U-Net ile Çekirdek Segmentasyonunda Hiper Parametre Optimizasyonu Etkisinin Değerlendirilmesi
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European Journal of Science and Technology
Reference33 articles.
1. Alom, M. Z., Yakopcic, C., Taha, T. M., & Asari, V. K. (2018). Nuclei segmentation with recurrent residual convolutional neural networks-based U-Net (R2U-Net). In NAECON 2018-IEEE National Aerospace and Electronics Conference (pp. 228-233). IEEE.
2. Atli, İ., & Gedık, O. S. (2019). VESUNETDeep: A Fully Convolutional Deep Learning Architecture for Automated Vessel Segmentation. In 2019 27th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
3. Bergstra, J., & Bengio, Y. (2012). Random search for hyper-parameter optimization. The Journal of Machine Learning Research, 13(1), 281-305.
4. Bottou, L. (2010). Large-scale machine learning with stochastic gradient descent. In Proceedings of COMPSTAT'2010 (pp. 177-186). Physica-Verlag HD.
5. Chidester, B., Ton, T. V., Tran, M. T., Ma, J., & Do, M. N. (2019). Enhanced rotation-equivariant U-Net for nuclear segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 0-0).
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