MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images.
Lei LiFuping WuSihan WangXinzhe LuoCarlos Martín-IslaShuwei ZhaiJianpeng ZhangYanfei LiuZhen ZhangMarkus J. AnkenbrandHaochuan JiangXiaoran ZhangLinhong WangTewodros Weldebirhan AregaElif AltunokZhou ZhaoFeiyan LiJun MaXiaoping YangÉlodie PuybareauIlkay ÖksüzStéphanie BricqWeisheng LiKumaradevan PunithakumarSotirios A. TsaftarisLaura Maria SchreiberMingjing YangGuocai LiuYong XiaGuotai WangSergio EscaleraXiahai ZhuangPublished in: CoRR (2022)
Keyphrases
- magnetic resonance images
- myocardial motion
- brain mri
- medical images
- cardiac mri
- partial volume
- mr images
- brain scans
- medical imaging
- short axis
- brain tumors
- mri images
- tissue segmentation
- manual segmentation
- intra subject
- multiple sclerosis lesions
- mri data
- magnetic resonance imaging
- accurate segmentation
- left ventricular
- brain structures
- cardiac mr images
- bias field
- mr imaging
- tagged mri
- white matter
- myocardial infarction
- magnetic resonance
- brain tissue
- gray matter
- high resolution
- diffusion tensor
- medical image analysis
- left ventricle
- phase contrast
- brain tumor segmentation
- cardiac motion
- diffusion weighted
- deformable models
- corpus callosum
- brain mr images
- image analysis
- anatomical structures
- image segmentation
- computer vision
- imaging modalities
- segmentation algorithm
- shape prior
- region growing
- fully automatic
- segmentation method
- image registration
- heart motion
- level set
- image intensity
- three dimensional