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Improved SSD network for accurate detection of optic disc and fovea and application in excyclotropia screening
Journal of the Optical Society of America A ( IF 1.9 ) Pub Date : 2020-12-02 , DOI: 10.1364/josaa.403850
Huiying Xie , Chen Tang , Min Xu , Zhenkun Lei

The detection of the optic disc (OD) and fovea is essential to many automatic diagnosis systems for retinal diseases. The single shot multibox detector (SSD) can generate predictions from feature maps of various resolutions, which has not been introduced into the OD and fovea detection. To enhance the detection performance, we propose an improved SSD network, which has strengthened information flow enabled by the dense connections. The proposed method can achieve multiscale detection of the OD and fovea with strengthened feature propagation. Extensive experiments on the publicly available Messidor database and local fundus images are performed to evaluate the performance of the proposed method. Compared with seven types of representative solutions in the Messidor database, the proposed method can achieve competitive performance compared to state-of-the-art algorithms. Furthermore, the proposed method is applied to the excyclotropia screening. The screening results demonstrate promising application prospects for the proposed method in medical practice.

中文翻译:

用于精确检测视盘和中央凹的改进 SSD 网络及其在外斜视筛查中的应用

视盘 (OD) 和中央凹的检测对于许多视网膜疾病的自动诊断系统至关重要。单次多框检测器 (SSD) 可以从各种分辨率的特征图生成预测,这在 OD 和中央凹检测中尚未引入。为了提高检测性能,我们提出了一种改进的 SSD 网络,它通过密集连接增强了信息流。所提出的方法可以通过增强的特征传播实现对OD和中央凹的多尺度检测。对公开可用的 Messidor 数据库和局部眼底图像进行了大量实验,以评估所提出方法的性能。与Messidor数据库中的七类代表性解相比,与最先进的算法相比,所提出的方法可以实现具有竞争力的性能。此外,所提出的方法应用于外旋筛选。筛选结果表明所提出的方法在医疗实践中具有广阔的应用前景。
更新日期:2020-12-24
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