Research outputs
2016
Leakage detection on diabetic retinopathy by using saliency
Zhao, Y., Yang, J., Zheng, Y., & Wang, Y. (2016). Leakage detection on diabetic retinopathy by using saliency. In International Symposium on Biomedical Imaging (ISBI'16). Prague, Czech.
2015
Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy
Zhao, Y., MacCormick, I., Parry, D., Beare, N., Harding, S., & Zheng, Y. (2015). Automated Detection of Vessel Abnormalities on Fluorescein Angiogram in Malarial Retinopathy. Scientific Reports, 5. doi:10.1038/srep11154
Automated Detection of Leakage in Fluorescein Angiography Images with Application to Malarial Retinopathy
Zhao, Y., MacCormick, I. J. C., Parry, D., Leach, S., Beare, N. A. V., Harding, S., & Zheng, Y. (2015). Automated Detection of Leakage in Fluorescein Angiography Images with Application to Malarial Retinopathy. Scientific Reports, 5. doi:10.1038/srep10425
Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase
Zhao, Y., Liu, Y., Wu, X., Harding, S., & Zheng, Y. (2015). Retinal Vessel Segmentation: An Efficient Graph Cut Approach with Retinex and Local Phase. PLOS One, 10(4). doi:10.1371/journal.pone.0122332
Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images
Zhao, Y., Rada, L., Chen, K., Harding, S., & Zheng, Y. (2015). Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images. IEEE Transactions on Medical Imaging, 34(9), 1797-1807. doi:10.1109/TMI.2015.2409024