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- W4353017617 abstract "Purpose: To develop and validate a fully automated program for choroidal structure analysis within a 1500-µm-wide region of interest centered on the fovea (deep learning–based choroidal structure assessment program [DCAP]). Methods: A total of 2162 fovea-centered radial swept-source optical coherence tomography (SS-OCT) B-scans from 162 myopic children with cycloplegic spherical equivalent refraction ranging from −1.00 to −5.00 diopters were collected to develop the DCAP. Medical Transformer network and Small Attention U-Net were used to automatically segment the choroid boundaries and the nulla (the deepest point within the fovea). Automatic denoising based on choroidal vessel luminance and binarization were applied to isolate choroidal luminal/stromal areas. To further compare the DCAP with the traditional handcrafted method, the luminal/stromal areas and choroidal vascularity index (CVI) values for 20 OCT images were measured by three graders and the DCAP separately. Intraclass correlation coefficients (ICCs) and limits of agreement were used for agreement analysis. Results: The mean ± SD pixel-wise distances from the predicted choroidal inner, outer boundary, and nulla to the ground truth were 1.40 ± 1.23, 5.40 ± 2.24, and 1.92 ± 1.13 pixels, respectively. The mean times required for choroidal structure analysis were 1.00, 438.00 ± 75.88, 393.25 ± 78.77, and 410.10 ± 56.03 seconds per image for the DCAP and three graders, respectively. Agreement between the automatic and manual area measurements was excellent (ICCs > 0.900) but poor for the CVI (0.627; 95% confidence interval, 0.279–0.832). Additionally, the DCAP demonstrated better intersession repeatability. Conclusions: The DCAP is faster than manual methods. Also, it was able to reduce the intra-/intergrader and intersession variations to a small extent. Translational Relevance: The DCAP could aid in choroidal structure assessment." @default.
- W4353017617 created "2023-03-23" @default.
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- W4353017617 date "2023-03-22" @default.
- W4353017617 modified "2023-09-30" @default.
- W4353017617 title "A Deep Learning–Based Fully Automated Program for Choroidal Structure Analysis Within the Region of Interest in Myopic Children" @default.
- W4353017617 cites W1583026443 @default.
- W4353017617 cites W1900665324 @default.
- W4353017617 cites W1901129140 @default.
- W4353017617 cites W2006828663 @default.
- W4353017617 cites W2017888065 @default.
- W4353017617 cites W2028564184 @default.
- W4353017617 cites W2036368820 @default.
- W4353017617 cites W2040387611 @default.
- W4353017617 cites W2046701323 @default.
- W4353017617 cites W2049695644 @default.
- W4353017617 cites W2051638292 @default.
- W4353017617 cites W2072946112 @default.
- W4353017617 cites W2074306573 @default.
- W4353017617 cites W2075218366 @default.
- W4353017617 cites W2075771080 @default.
- W4353017617 cites W2081068411 @default.
- W4353017617 cites W2094222278 @default.
- W4353017617 cites W2158525523 @default.
- W4353017617 cites W2163914036 @default.
- W4353017617 cites W2164108175 @default.
- W4353017617 cites W2195952489 @default.
- W4353017617 cites W2263495255 @default.
- W4353017617 cites W2323915496 @default.
- W4353017617 cites W2327037637 @default.
- W4353017617 cites W2346487820 @default.
- W4353017617 cites W2409743699 @default.
- W4353017617 cites W2523110409 @default.
- W4353017617 cites W2570225632 @default.
- W4353017617 cites W2575285771 @default.
- W4353017617 cites W2588044938 @default.
- W4353017617 cites W2604769046 @default.
- W4353017617 cites W2621545865 @default.
- W4353017617 cites W2743370104 @default.
- W4353017617 cites W2790096781 @default.
- W4353017617 cites W2790224371 @default.
- W4353017617 cites W2801751488 @default.
- W4353017617 cites W2806964311 @default.
- W4353017617 cites W2896876665 @default.
- W4353017617 cites W2902709956 @default.
- W4353017617 cites W2917403694 @default.
- W4353017617 cites W2918799538 @default.
- W4353017617 cites W2922029424 @default.
- W4353017617 cites W2950394017 @default.
- W4353017617 cites W2956015785 @default.
- W4353017617 cites W2973920946 @default.
- W4353017617 cites W3000568044 @default.
- W4353017617 cites W3024484183 @default.
- W4353017617 cites W3084852986 @default.
- W4353017617 cites W3107789959 @default.
- W4353017617 cites W3116180543 @default.
- W4353017617 cites W3119180691 @default.
- W4353017617 cites W3122132288 @default.
- W4353017617 cites W3125432750 @default.
- W4353017617 cites W3126335003 @default.
- W4353017617 cites W3127804112 @default.
- W4353017617 cites W3187871252 @default.
- W4353017617 cites W3205939379 @default.
- W4353017617 cites W3210776878 @default.
- W4353017617 cites W3213096532 @default.
- W4353017617 cites W3214772414 @default.
- W4353017617 cites W4200179413 @default.
- W4353017617 cites W4210557800 @default.
- W4353017617 cites W4210730639 @default.
- W4353017617 cites W4213172209 @default.
- W4353017617 cites W4214491511 @default.
- W4353017617 cites W4214690945 @default.
- W4353017617 cites W4223506350 @default.
- W4353017617 cites W4226052069 @default.
- W4353017617 cites W4231061328 @default.
- W4353017617 cites W4241198690 @default.
- W4353017617 cites W4255271122 @default.
- W4353017617 cites W4280519468 @default.
- W4353017617 cites W4281614829 @default.
- W4353017617 cites W4285047482 @default.
- W4353017617 cites W4285523755 @default.
- W4353017617 cites W4289520351 @default.
- W4353017617 cites W4308809266 @default.
- W4353017617 cites W800139166 @default.