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: IEEE Trans. Medical Imaging (2022)
Keyphrases
- medical images
- medical imaging
- medical image analysis
- anatomical structures
- medical image segmentation
- deformable models
- ct images
- magnetic resonance images
- computed tomography
- magnetic resonance imaging
- image intensity
- mr images
- x ray images
- medical data
- magnetic resonance
- soft tissue
- mri images
- imaging modalities
- brain images
- region of interest
- segmentation of medical images
- medical diagnosis
- multi modality
- computer aided diagnosis
- biomedical images
- medical image retrieval
- clinical practice
- computer tomography
- image analysis
- ct data
- clinical applications
- medical databases
- multimodal medical images