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024 7 $a10.1007/978-3-031-12053-4
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035   $a(CKB)24286006500041
035   $a(PPN)263897362
035   $a(DE-He213)978-3-031-12053-4
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100   $a20220725d2022      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMedical Image Understanding and Analysis $e26th Annual Conference, MIUA 2022, Cambridge, UK, July 27?29, 2022, Proceedings /$fedited by Guang Yang, Angelica Aviles-Rivero, Michael Roberts, Carola-Bibiane Schönlieb
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (913 pages)
225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13413
311 08$aPrint version: Yang, Guang Medical Image Understanding and Analysis Cham : Springer International Publishing AG,c2022 9783031120527 
320   $aIncludes bibliographical references and index.
330   $aChapter ?FCN-Transformer Feature Fusion for Polyp Segmentation? is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
410  0$aLecture Notes in Computer Science,$x1611-3349 ;$v13413
606   $aComputer vision
606   $aArtificial intelligence
606   $aComputers
606   $aApplication software
606   $aComputer Vision
606   $aArtificial Intelligence
606   $aComputing Milieux
606   $aComputer and Information Systems Applications
615  0$aComputer vision.
615  0$aArtificial intelligence.
615  0$aComputers.
615  0$aApplication software.
615 14$aComputer Vision.
615 24$aArtificial Intelligence.
615 24$aComputing Milieux.
615 24$aComputer and Information Systems Applications.
676   $a616.0754
676   $a616.0754
702   $aYang$b Guang
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910585782803321
996   $aMedical Image Understanding and Analysis$93655360
997   $aUNINA