03498nam a22005535i 4500 978-3-031-54857-4 DE-He213 20251030111451.0 cr nn 008mamaa 240228s2024 sz | s |||| 0|eng d 9783031548574 978-3-031-54857-4 10.1007/978-3-031-54857-4 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Myopic Maculopathy Analysis [electronic resource] : MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8–12, 2023, Proceedings / edited by Bin Sheng, Hao Chen, Tien Yin Wong. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 121 p. 33 illus., 31 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Computer Science, 1611-3349 ; 14563 Automated 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. This 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. Artificial intelligence. 58441 Computer vision. Artificial Intelligence. 58441 Computer Vision. Sheng, Bin. editor. (orcid)0000-0001-8678-2784 https://orcid.org/0000-0001-8678-2784 edt http://id.loc.gov/vocabulary/relators/edt 68438 Chen, Hao. editor. edt http://id.loc.gov/vocabulary/relators/edt 72001 Wong, Tien Yin. editor. edt http://id.loc.gov/vocabulary/relators/edt 72002 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031548567 Printed edition: 9783031548581 Lecture Notes in Computer Science, 1611-3349 ; 14563 https://doi.org/10.1007/978-3-031-54857-4 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 57970 57970