no code implementations • 3 Apr 2020 • Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu
This paper builds upon the success of previous models and develops a novel architecture, which combines object segmentation and convolutional neural networks (CNN) to construct an effective classifier of ROP stages 1-3 based on neonatal retinal images.
no code implementations • 26 Mar 2020 • Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang
The first one is that our dataset is not fully labeled, i. e., only a subset of all lesion instances are marked.
no code implementations • 19 Nov 2019 • Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu
We analyze the lesion-vs-image scale carefully and propose a large-size feature pyramid network (LFPN) to preserve more image details for mini lesion instance detection.