Encoding feature supervised UNet++: Redesigning Supervision for liver and tumor segmentation

no code implementations • 15 Nov 2022 • Jiahao Cui, Ruoxin Xiao, Shiyuan Fang, Minnan Pei, Yixuan Yu

ES-UNet++ is evaluated with dataset LiTS, achieving 95. 6% for liver segmentation and 67. 4% for tumor segmentation in dice score.

Automatic Liver And Tumor Segmentation Liver Segmentation +2

Optimal consumption-investment choices under wealth-driven risk aversion

no code implementations • 3 Oct 2022 • Ruoxin Xiao

But wealth-driven risk aversion rarely shows up in investor's investment problems.