8 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 8 cited
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution
Bo Wang, Lei Wang, Junyang Chen +3
Deep learning-based medical image segmentation technology aims at automatic recognizing and annotating objects on the medical image. Non-local attention and feature learning by mul…
eess.IV2020
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism
Di Yuan, Junyang Chen, Zhenghua Xu +3
Because the expansion path of U-Net may ignore the characteristics of small targets, intermediate supervision mechanism is proposed. The original mask is also entered into the netw…
eess.IV2020★ 6 cited
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey
Dan Zhao, Guizhi Xu, Zhenghua XU +3
Computer-Aided Diagnosis and Treatment of Tumors is a hot topic of deep learning in recent years, which constitutes a series of medical tasks, such as detection of tumor markers, t…