Paper Info
Title
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
Abstract
•This work presents the methodologies and evaluation results for the WHS algorithms selected from the submissions to the Multi-Modality Whole Heart Segmentation (MM-WHS) challenge, in conjunction with MICCAI 2017.•This work introduces the related information to the challenge, discusses the results from the conventional methods and deep learning-based algorithms, and provides insights to the future research.•The challenge provides a fair and intuitive comparison framework for methods developed and being developed for WHS.•The challenge provides the training datasets with manually delineated ground truths and evaluation for an ongoing development of MM-WHS algorithms.
Year
DOI
Venue
2019
10.1016/j.media.2019.101537
Medical Image Analysis
Keywords
Field
DocType
Whole Heart Segmentation,Multi-modality,Benchmark,Challenge
Computer science,Artificial intelligence,Overfitting,Deep learning,Benchmarking,Heart shape,Training set,Pattern recognition,Segmentation,Algorithm,Test data,Prior probability,Machine learning
Journal
Volume
ISSN
Citations 
58
1361-8415
9
PageRank 
References 
Authors
0.59
14
34
Name
Order
Citations
PageRank
Xiahai Zhuang141138.76
Lei Li2335.37
Christian Payer3414.73
Darko Stern411513.31
Martin Urschler5496.64
Mattias P. Heinrich687353.64
Julien Oster7265.36
Chunliang Wang819917.56
Örjan Smedby990.59
Cheng Bian10264.00
Xin Yang1117512.96
Pheng-Ann Heng123565280.98
Aliasghar Mortazi1390.59
Ulas Bagci1433933.41
Guanyu Yang152713.48
Chenchen Sun1690.93
Gaetan Galisot1791.26
J. Y. Ramel181299.40
Thierry Brouard19886.90
Qianqian Tong20246.74
Weixin Si2190.59
Xiangyun Liao2292.28
Guodong Zeng23275.28
Zenglin Shi2490.59
Guoyan Zheng25457.33
Chengjia Wang2690.59
Tom MacGillivray2790.59
David E. Newby28121.64
Kawal Rhode2915021.01
Sébastien Ourselin3090.59
Raad Mohiaddin3152540.16
Jennifer Keegan3290.59
David N. Firmin33684.54
Guang Yang3490.59