Fetal Brain Tissue Annotation and Segmentation Challenge Results.
Kelly PayetteHongwei LiPriscille de DumastRoxane LicandroHui JiMd Mahfuzur Rahman SiddiqueeDaguang XuAndriy MyronenkoHao LiuYuchen PeiLisheng WangYing PengJuanying XieHuiquan ZhangGuiming DongHao FuGuotai WangZunHyan RieuDonghyeon KimHyun Gi KimDavood KarimiAli GholipourHelena R. TorresBruno OliveiraJoão L. VilaçaYang LinNetanell AvisdrisOri Ben-ZviDafna Ben-BashatLucas FidonMichael AertsenTom VercauterenDaniel SobotkaGeorg LangsMireia AlenyàMaria Inmaculada VillanuevaOscar CamaraBella Fadida-SpecktorLeo JoskowiczWeibin LiaoLv YiXuesong LiMoona MazherAbdul QayyumDomenec PuigHamza KebiriZelin ZhangXinyi XuDan WuKuanLun LiaoYiXuan WuJinTai ChenYunzhi XuLi ZhaoLana VasungBjoern H. MenzeMeritxell Bach CuadraAndrás JakabPublished in: CoRR (2022)
Keyphrases
- image analysis
- brain tumors
- segmentation algorithm
- level set
- image segmentation
- segmentation method
- fetal brain
- medical images
- atlas based segmentation
- cell nuclei
- fully automatic
- shape prior
- manual segmentation
- magnetic resonance images
- object segmentation
- mr images
- segmentation accuracy
- brain tissue
- brain mr images
- graph cuts
- three dimensional