A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data

Chengjia Wang, Tom MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby. A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data. In Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li 0001, Kristin McLeod, Alistair A. Young, Kawal S. Rhode, Tommaso Mansi, editors, Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers. Volume 11395 of Lecture Notes in Computer Science, pages 191-199, Springer, 2018. [doi]

Authors

Chengjia Wang

This author has not been identified. Look up 'Chengjia Wang' in Google

Tom MacGillivray

This author has not been identified. Look up 'Tom MacGillivray' in Google

Gillian Macnaught

This author has not been identified. Look up 'Gillian Macnaught' in Google

Guang Yang

This author has not been identified. Look up 'Guang Yang' in Google

David E. Newby

This author has not been identified. Look up 'David E. Newby' in Google