Automatic exudate and aneurysm segmentation in OCT images using UNET++ and hyperreflective-foci feature based bagged tree ensemble
基于UNET++和高反射焦点特征的集成学习树方法在OCT图像中自动分割渗出物和动脉瘤
期刊:PLoS One
影响因子:2.6
doi:10.1371/journal.pone.0304146
Tanthanathewin, Rinrada; Wongrattanapipat, Warissaporn; Khaing, Tin Tin; Aimmanee, Pakinee
