03262nam 22007695 450 991064588890332120230120111342.03-031-23911-310.1007/978-3-031-23911-3(MiAaPQ)EBC7184759(Au-PeEL)EBL7184759(CKB)26037407900041(MiAaPQ)EBC7184762(DE-He213)978-3-031-23911-3(PPN)26780704X(EXLCZ)992603740790004120230120d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierFast and Low-Resource Semi-supervised Abdominal Organ Segmentation MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings /edited by Jun Ma, Bo Wang1st ed. 2022.Cham :Springer Nature Switzerland :Imprint: Springer,2022.1 online resource (338 pages)Lecture Notes in Computer Science,1611-3349 ;13816Includes index.Print version: Ma, Jun Fast and Low-Resource Semi-Supervised Abdominal Organ Segmentation Cham : Springer,c2023 9783031239106 This book constitutes the proceedings of the MICCAI 2022 Challenge, FLARE 2022, held in Conjunction with MICCAI 2022, in Singapore, on September 22, 2022. The 28 full papers presented in this book were carefully reviewed and selected from 48 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.Lecture Notes in Computer Science,1611-3349 ;13816Image processing—Digital techniquesComputer visionArtificial intelligenceComputer networksApplication softwareEducation—Data processingSoftware engineeringComputer Imaging, Vision, Pattern Recognition and GraphicsArtificial IntelligenceComputer Communication NetworksComputer and Information Systems ApplicationsComputers and EducationSoftware EngineeringImage processing—Digital techniques.Computer vision.Artificial intelligence.Computer networks.Application software.Education—Data processing.Software engineering.Computer Imaging, Vision, Pattern Recognition and Graphics.Artificial Intelligence.Computer Communication Networks.Computer and Information Systems Applications.Computers and Education.Software Engineering.610.285Ma JunWang Bo1967-MiAaPQMiAaPQMiAaPQBOOK9910645888903321Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation3091259UNINA