02443nam 22006495 450 991058578280332120250331112239.09783031120534303112053110.1007/978-3-031-12053-4(MiAaPQ)EBC7050374(Au-PeEL)EBL7050374(CKB)24286006500041(PPN)263897362(DE-He213)978-3-031-12053-4(EXLCZ)992428600650004120220725d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMedical Image Understanding and Analysis 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27–29, 2022, Proceedings /edited by Guang Yang, Angelica Aviles-Rivero, Michael Roberts, Carola-Bibiane Schönlieb1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (913 pages)Lecture Notes in Computer Science,1611-3349 ;13413Print version: Yang, Guang Medical Image Understanding and Analysis Cham : Springer International Publishing AG,c2022 9783031120527 Includes bibliographical references and index.Chapter “FCN-Transformer Feature Fusion for Polyp Segmentation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Lecture Notes in Computer Science,1611-3349 ;13413Computer visionArtificial intelligenceComputersApplication softwareComputer VisionArtificial IntelligenceComputing MilieuxComputer and Information Systems ApplicationsComputer vision.Artificial intelligence.Computers.Application software.Computer Vision.Artificial Intelligence.Computing Milieux.Computer and Information Systems Applications.616.0754616.0754Yang GuangMiAaPQMiAaPQMiAaPQBOOK9910585782803321Medical Image Understanding and Analysis3655360UNINA