LEADER 00698nam0-22002651i-450- 001 990001169830403321 035 $a000116983 035 $aFED01000116983 035 $a(Aleph)000116983FED01 035 $a000116983 100 $a20000920d1937----km-y0itay50------ba 101 0 $aita 200 1 $aMemorie scelte$fGuido Castelnuovo 210 $aBologna$cZanichelli$d1937 610 0 $aCastelnuovo, g.$aOpere 700 1$aCastelnuovo,$bGuido$f<1865-1952>$0324513 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001169830403321 952 $a114-E-21-OP$b1414$fMA1 959 $aMA1 962 $a01A75 996 $aMemorie scelte$9346086 997 $aUNINA DB $aING01 LEADER 03045nam 22005535 450 001 9910842287103321 005 20251113180921.0 010 $a3-031-54857-4 024 7 $a10.1007/978-3-031-54857-4 035 $a(CKB)30597579800041 035 $a(MiAaPQ)EBC31201127 035 $a(Au-PeEL)EBL31201127 035 $a(DE-He213)978-3-031-54857-4 035 $a(EXLCZ)9930597579800041 100 $a20240228d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMyopic Maculopathy Analysis $eMICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8?12, 2023, Proceedings /$fedited by Bin Sheng, Hao Chen, Tien Yin Wong 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (131 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14563 311 08$a3-031-54856-6 320 $aIncludes bibliographical references and index. 327 $aAutomated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction -- Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images -- Towards Label-efficient Deep Learning for Myopic Maculopathy Classification -- Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation -- Beyond MobileNet: An improved MobileNet for Retinal Diseases -- Prediction of Spherical Equivalent With Vanilla ResNet -- Semi-supervised learning for Myopic Maculopathy Analysis -- A Clinically Guided Approach for Training Deep Neural Networks for Myopic Maculopathy Classification -- Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network -- Self-supervised Learning and Data Diversity based Prediction of Spherical Equivalent -- Myopic Maculopathy Analysis using Multi-Task Learning and Pseudo Labeling. 330 $aThis book constitutes the MICCAI Challenge, MMAC 2023, that held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, which took place in October 2023. The 11 long papers included in this volume presents a wide range of state-of-the-art deep learning methods developed for the various tasks presented in the challenge. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14563 606 $aArtificial intelligence 606 $aComputer vision 606 $aArtificial Intelligence 606 $aComputer Vision 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aComputer Vision. 676 $a617.715 702 $aSheng$b Bin 702 $aChen$b Hao 702 $aWong$b Tien Yin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910842287103321 996 $aMyopic Maculopathy Analysis$94235853 997 $aUNINA