2 papers
eess.IV2020
MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling
Kelei He, Chunfeng Lian, Ehsan Adeli +5
Fully convolutional networks (FCNs), including UNet and VNet, are widely-used network architectures for semantic segmentation in recent studies. However, conventional FCN is typica…
cs.LG2019
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems
Qingbo Yin, Ehsan Adeli, Liran Shen +1
Various applications in different fields, such as gene expression analysis or computer vision, suffer from data sets with high-dimensional low-sample-size (HDLSS), which has posed…