3 citations · 3 across the 2 of their papers we have counts for
3 papers
eess.IV2022
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss
Yucong Lin, Jinhua Su, Yuhang Li +12
Deep learning methods have contributed substantially to the rapid advancement of medical image segmentation, the quality of which relies on the suitable design of loss functions. P…
cs.NE2019★ 3 cited
Rethinking the Artificial Neural Networks: A Mesh of Subnets with a Central Mechanism for Storing and Predicting the Data
Usman Ahmad, Hong Song, Awais Bilal +3
The Artificial Neural Networks (ANNs) have been originally designed to function like a biological neural network, but does an ANN really work in the same way as a biological neural…
cs.CV2018
Greedy Graph Searching for Vascular Tracking in Angiographic Image Sequences
Huihui Fang, Jian Yang, Jianjun Zhu +5
Vascular tracking of angiographic image sequences is one of the most clinically important tasks in the diagnostic assessment and interventional guidance of cardiac disease. However…