02814nam 22006615 450 991034940370332120251225203456.09783030009199303000919X10.1007/978-3-030-00919-9(CKB)4100000006674901(DE-He213)978-3-030-00919-9(MiAaPQ)EBC6222267(PPN)230538932(EXLCZ)99410000000667490120180914d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMachine Learning in Medical Imaging 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings /edited by Yinghuan Shi, Heung-Il Suk, Mingxia Liu1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XIII, 409 p. 152 illus.) Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;110469783030009182 3030009181 This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;11046Computer visionArtificial intelligenceMedical informaticsData miningComputer VisionArtificial IntelligenceHealth InformaticsData Mining and Knowledge DiscoveryComputer vision.Artificial intelligence.Medical informatics.Data mining.Computer Vision.Artificial Intelligence.Health Informatics.Data Mining and Knowledge Discovery.006.37006.6Shi Yinghuanedthttp://id.loc.gov/vocabulary/relators/edtSuk Heung-Iledthttp://id.loc.gov/vocabulary/relators/edtLiu Mingxiaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910349403703321Machine Learning in Medical Imaging2998079UNINA