传统方法和深度学习用于不同模态心脏医学图像的分割研究进展
常博, 孙灏芸, 高清宇, 王丽嘉

Research Progress on Cardiac Segmentation in Different Modal Medical Images by Traditional Methods and Deep Learning
CHANG Bo, SUN Haoyun, GAO Qingyu, WANG Lijia
表5 心脏图像公开数据集
Table 5 Public data sets of cardiac images
数据集 时间 模态 病例 网址
Sunnybrook 2009 2009 CMRI 45 https://www.cardiacatlas.org/sunnybrook-cardiac-data/
MESA 2011 CMRI 2450 https://www.cardiacatlas.org/mesa/
DETERMINE 2011 CMRI 30 https://www.cardiacatlas.org/determine/
MITEA 2012 CMRI 134 https://www.cardiacatlas.org/mitea/
CDEMRIS 2012 CMRI 60 https://www.imperial.ac.uk/collegedirectory/
LVIC 2012 CMRI 30 https://www.doc.ic.ac.uk/~rkarim/la_lv_framework/
SADACB 2015 CMRI 1000 https://www.kaggle.com/competitions/second-annual-data-science-bowl/overview
HVSMR 2016 CMRI 30 http://segchd.csail.mit.edu/
ACDC 2017 CMRI 150 https://acdc.creatis.insa-lyon.fr/
LASC’18 2018 CMRI 154 https://www.cardiacatlas.org/atriaseg2018-challenge/atria-seg-data/
M&Ms 2020 CMRI 375 https://www.ub.edu/mnms/
CMRxMotion 2022 CMRI 360 https://www.synapse.org/#!Synapse:syn28503327/files/
LAScarQS 2022 CMRI 194 https://zmiclab.github.io/projects/lascarqs22/
CMRxRecon 2023 CMRI 300 https://cmrxrecon.github.io/
CAT08 2008 CTA 32 https://disk.yandex.ru/d/LR-C42NwDC7RRA
MM-WHS 2017 CT/CMRI 60/60 https://mega.nz/folder/UNMF2YYI#1cqJVzo4p_wESv9P_pc8uA
ASOCA 2020 CT 40 https://asoca.grand-challenge.org/access/
CETUS 2014 UCG 45 https://www.creatis.insa-lyon.fr/Challenge/CETUS/databases.html
CAMUS 2019 UCG 500 https://www.creatis.insa-lyon.fr/Challenge/camus
EchoNet-Dynamic 2020 UCG 10030 https://echonet.github.io/dynamic/index.html
MITEA 2023 UCG 536 https://www.frontiersin.org/articles/10.3389/fcvm.2022.1016703/full