TY  - BOOK
AU  - Ma,Jun
AU  - Wang,Bo
TI  - Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation: MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783031239113
U1  - 006 23
PY  - 2022///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Image processing-Digital techniques
KW  - Computer vision
KW  - Artificial intelligence
KW  - Computer networks 
KW  - Application software
KW  - Education-Data processing
KW  - Software engineering
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Artificial Intelligence
KW  - Computer Communication Networks
KW  - Computer and Information Systems Applications
KW  - Computers and Education
KW  - Software Engineering
N2  - This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022. The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis
UR  - https://doi.org/10.1007/978-3-031-23911-3
ER  -