# Quantitative Analysis of Retinal Vascular Leakage in Retinal Vascular Using Machine Learning
## 3 Results
### The Correlation between the Automated Retinal Vascular Leakage Area and FA Score  
To analyze the correlation between the automated retinal vascular leakage area and FA score in six patients before and after treatment, we evaluated the FA score according to the FA scoring system demonstrated in a previous study [7]. Figure 4a shows a statistically significant positive correlation between the automated segmented area (pixels) of the retinal vascular leakage area and the total FA score ([PERSON]'s correlation coefficient = 0.890, \(p\) < 0.001). Furthermore, Figure 4b shows a significant positive correlation between the automated segmented area (pixels) of the retinal vascular leakage area and FA vascular leakage score ([PERSON]'s correlation coefficient = 0.880, \(p\) < 0.001). Fluorescein angiography images and automatic segmentation of retinal vascular leakage of a representative case before and after initiation of IFX is shown in Figure 5.  
Figure 4: Correlation between FA score and pixels of the automated detected leakage area in 12 UWF FA images from six patients (before and after treatment). (**a**) Correlation between the FA score (a total of 40 points summarized from nine parameters) and pixels of the automated detected leakage area. (**b**) Correlation between the FA score (a total of 24 points summarized from four parameters: optic disc hyper fluorescence, macular edema, retinal vascular staining/leakage, and capillary leakage) and pixels of the automated detected leakage area.  
Figure 5: Comparison between fluorescein angiography (FA) images and the automatic segmented vascular leakage area before and after therapy in a representative case ( idiopathic uveitis).  
Figure 3: Comparison of manual and automated segmentation of the retinal vascular leakage area in a representative case ( idiopathic uveitis). True positive: red. False negative: blue. False positive: white.  
The FA images revealed leakage from temporal, inferior, and nasal periphery retinal vessels before treatment. At one year after initiation of treatment, fluorescein leakage was improved. Automatic segmentation revealed white lesions (30,003 pixels) corresponding to the retinal vascular leakage area observed in FA images before treatment, and white lesions were reduced after treatment (528 pixels).  
The Comparison of the Pixels of Automatic Segmented Vascular Leakage in FA Images before and after treatment  
We compared the pixels of automatic segmented vascular leakage in FA images before and after treatment. As shown in Figure 6a, we compared the FA score from six patients before treatment and after treatment, and the mean FA score after treatment was significantly reduced compared with that before treatment. Similarly, as shown in Figure 6b, the mean pixels of automatic segmented vascular leakage with treatment was significantly reduced compared with that before treatment. These findings suggested that measurement of pixels for automatic segmented vascular leakage may be useful for objective assessment of vascular leakage before and after treatment in eyes with posterior uveitis.