摘要
An automated superpixels identification/mosaicking method is presented for the analysis of cone photoreceptor cells with the use of adaptive optics scanning laser ophthalmoscope(AO-SLO) images. This is an image oversegmentation method used for the identification and mosaicking of cone photoreceptor cells in AO-SLO images.It includes image denoising, estimation of the cone photoreceptor cell number, superpixels segmentation, merging of superpixels, and final identification and mosaicking processing steps. The effectiveness of the presented method was confirmed based on its comparison with a manual method in terms of precision, recall, and F1-score of 77.3%, 95.2%, and 85.3%, respectively.
作者
Yiwei Chen
Yi He
Jing Wang
Wanyue Li
Lina Xing
Feng Gao
Guohua Shi
陈一巍;何益;王晶;李婉越;邢利娜;高峰;史国华(Jiangsu Key Laboratory of Medical Optics,Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,Suzhou 215163,China;Department of Biomedical Engineering,University of Science and Technology of China,Hefei 230041,China;Center for Excellence in Brain Science and Intelligence Technology,Chinese Academy of Sciences,Shanghai 200031,China)
基金
supported by the Jiangsu Provincial Key R&D Program (Nos. BE2019682 and BE2018667)
National Natural Science Foundation of China(Nos. 61605210,61675226,and 61378090)
Youth Innovation Promotion Association of Chinese Academy of Sciences (No. 2019320)
National Key R&D Program of China(Nos. 2016YFC0102500 and 2017YFB0403700)
Frontier Science Research Project of the Chinese Academy of Sciences (No. QYZDB-SSW-JSC03)
Strategic Priority Research Program of the Chinese Academy of Sciences(No. XDB02060000)
