Tianfu Zhang, Shuncong Zhong, Chaoming Lian, Ning Zhou, Maosong Xie. Deep Learning Feature Fusion-Based Retina Image Classification[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241025
- Laser & Optoelectronics Progress
- Vol. 57, Issue 24, 241025 (2020)
Fig. 1. Convolutional neural network model
Fig. 2. Convolutional layer structure comparison. (a) Ordinary convolution; (b) depth separable convolution
Fig. 3. Sample graphs of the dataset. (a) CNV; (b) DME; (c) DRUSEN; (d) NORMAL
Fig. 4. Image preprocessing. (a) Original image of OCT retina; (b)mean-shift removed speckle image
Fig. 5. Validation result curves. (a) Validation accuracy curve; (b) validation loss curve
Fig. 6. Confusion matrix. (a) Confusion matrix without weighted loss function; (b) confusion matrix with weighted loss function
Fig. 7. Visual heat maps
Fig. 8. Confusion matrix. (a) Confusion matrix for GAPNet model; (b) confusion matrix for RongheNet model
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Table 1. Division of OCT dataset
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Table 2. Comparison of classification indexes of different training methods unit: %
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Table 3. Performance comparison of different models unit: %
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