Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation

被引：0
|
作者：
Gu, Yunqi [1 ]
Zhou, Tao [1 ]
Zhang, Yizhe [1 ]
Zhou, Yi [2 ]
He, Kelei [3 ,4 ]
Gong, Chen [1 ]
Fu, Huazhu [5 ]
机构：
[1] PCA Laboratory, The School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing,210094, China
[2] The School of Computer Science and Engineering, Southeast University, Nanjing,211189, China
[3] The Medical School, Nanjing University, Nanjing,210023, China
[4] The National Institute of Healthcare Data Science, Nanjing University, Nanjing,210023, China
[5] The Institute of High Performance Computing, A*STAR, Singapore
来源：
arXiv | 2023年
关键词：
Engineering Village;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Consistency constraints - Cross levels - Cross-generative consistency - Dual scale - Feature representation - Medical image segmentation - Scale-enhanced consistency - Segmentation map - Semi-supervised - Semi-supervised learning
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