[1] Huang D, Swanson E A, Lin C P et al. Optical coherence tomography[J]. Science, 254, 1178-1181(1991).
[2] Yazdanpanah A, Hamarneh G, Smith B et al. Intra-retinal layer segmentation in optical coherence tomography using an active contour approach[J]. Medical Image Computing and Computer-Assisted Intervention, 12, 649-656(2009).
[5] Fang L, Cunefare D, Wang C et al. Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search[J]. Biomedical Optics Express, 8, 2732-2744(2017).
[6] Chiu S J, Li X T, Nicholas P et al. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation[J]. Optics Express, 18, 19413-19428(2010).
[7] Chen Q, Fan W, Niu S J et al. Automated choroid segmentation based on gradual intensity distance in HD-OCT images[J]. Optics Express, 23, 8974-8994(2015).
[9] Niu S J, Chen Q, Lu S T et al. SD-OCT image layer segmentation using multi-scale 3-D graph search method[J]. Computer Science, 42, 272-277(2015).
[10] Guo Y K, Camino A, Zhang M et al. Automated segmentation of retinal layer boundaries and capillary plexuses in wide-field optical coherence tomographic angiography[J]. Biomedical Optics Express, 9, 4429-4442(2018).
[11] Zawadzki R J, Fuller A R, Wiley D F et al. Adaptation of a support vector machine algorithm for segmentation and visualization of retinal structures in volumetric optical coherence tomography data sets[J]. Journal of Biomedical Optics, 12, 041206(2007).
[13] Chen Q, Xu J, Niu S J. Retinal nerve fiber layer segmentation of spectral domain optical coherence tomography images based on random forest[J]. Journal of Electronics & Information Technology, 39, 1101-1108(2017).
[14] Kugelman J, Alonso-Caneiro D, Read S A et al. Automatic segmentation of OCT retinal boundaries using recurrent neural networks and graph search[J]. Biomedical Optics Express, 9, 5759-5777(2018).
[15] Liu X M, Cao J, Fu T et al. Semi-supervised automatic segmentation of layer and fluid region in retinal optical coherence tomography images using adversarial learning[J]. IEEE Access, 7, 3046-3061(2019).
[16] Hamwood J, Alonso-Caneiro D, Read S A et al. Effect of patch size and network architecture on a convolutional neural network approach for automatic segmentation of OCT retinal layers[J]. Biomedical Optics Express, 9, 3049-3066(2018).
[17] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).