45 citations · 98 across the 10 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 7 cited
A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network
Yao Xiang, Wanxin Sun, Changli Pan +3
While most previous automation-assisted reading methods can improve efficiency, their performance often relies on the success of accurate cell segmentation and hand-craft feature e…
cs.CV2019
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation
Qing Liu, Beiji Zou, Yang Zhao +1
Segmentation of optic disc (OD) and optic cup (OC) is critical in automated fundus image analysis system. Existing state-of-the-arts focus on designing deep neural networks with on…
cs.CV2019★ 4 cited
Dual-attention Focused Module for Weakly Supervised Object Localization
Yukun Zhou, Zailiang Chen, Hailan Shen +3
The research on recognizing the most discriminative regions provides referential information for weakly supervised object localization with only image-level annotations. However, t…