Yanhong Tang, Yunzhao Chen, Mingdi Liu, Yaguang Zeng, Yuexia Zhou. Segmentation of Retinal Layers in OCT Images Based on CNN and Improved Graph Search[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241702
- Laser & Optoelectronics Progress
- Vol. 57, Issue 24, 241702 (2020)
Fig. 1. Basic structure of CNN
Fig. 2. Flow chart of proposed method
Fig. 3. Complex-CNN structure
Fig. 4. Accuracy and loss during training process and validation process. (a) Accuracy; (b) loss
Fig. 5. Gradient map. (a) Dark to light gradient map, used to construct the weight matrix for segmenting ILM, INL-OPL, IS-OS; (b) light to dark gradient map, used to construct the weight matrix for segmenting NFL-GCL, IPL-INL, OPL-ONL, BM
Fig. 6. Comparison of OCT retinal image segmentation results in fovea area. (a) Manually drawn result; (b) graph search method; (c) method based on CNN; (d) proposed method
Fig. 7. Comparison of OCT retinal image segmentation results with vascular shadow. (a) Manually drawn result; (b) graph search method; (c) method based on CNN; (d) proposed method
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Table 1. MAE and RMSE of different methods
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