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: Medical Image Anal. (2023)
Keyphrases
- magnetic resonance images
- myocardial motion
- brain mri
- medical images
- short axis
- mri images
- partial volume
- cardiac mri
- brain scans
- mr images
- manual segmentation
- intra subject
- brain tumors
- medical imaging
- mri data
- tissue segmentation
- magnetic resonance imaging
- bias field
- multiple sclerosis lesions
- cardiac mr images
- accurate segmentation
- tagged mri
- left ventricular
- brain structures
- mr imaging
- magnetic resonance
- brain tumor segmentation
- brain tissue
- myocardial infarction
- left ventricle
- brain mr images
- segmentation algorithm
- intensity distribution
- diffusion tensor
- high resolution
- image segmentation
- white matter
- partial volume effects
- anatomical structures
- corpus callosum
- mr brain images
- heart motion
- medical image analysis
- gray matter
- phase contrast
- three dimensional
- image analysis
- image registration
- image data
- imaging modalities
- diffusion weighted
- region growing
- fully automatic
- segmentation method
- computer vision
- cardiac motion