Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.
David ZimmererPeter M. FullFabian IsenseePaul JägerTim AdlerJens PetersenGregor KöhlerTobias RoßAnnika ReinkeAntanas KascenasBjørn Sand JensenAlison Q. O'NeilJeremy TanBenjamin HouJames BattenHuaqi QiuBernhard KainzNina ShvetsovaIrina FedulovaDmitry V. DylovBaolun YuJianyang ZhaiJingtao HuRunxuan SiSihang ZhouSiqi WangXinyang LiXuerun ChenYang ZhaoSergio Naval MarimontGiacomo TarroniVictor SaaseLena Maier-HeinKlaus H. Maier-HeinPublished in: Bildverarbeitung für die Medizin (2023)
Keyphrases
- medical images
- medical imaging
- anatomical structures
- medical image analysis
- image intensity
- deformable models
- mr images
- medical image segmentation
- magnetic resonance
- ct images
- medical data
- magnetic resonance imaging
- magnetic resonance images
- medical diagnosis
- computer aided diagnosis
- imaging modalities
- x ray images
- soft tissue
- clinical practice
- computed tomography
- biomedical images
- multi modality
- clinical applications
- region of interest
- segmentation of medical images
- ct data
- brain images
- high level
- low level
- image segmentation
- computer vision