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Myopic maculopathy analysis = MICCAI Challenge MMAC 2023, held in conjunction with MICCAI 2023, virtual event, October 8-12, 2023 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Myopic maculopathy analysis/ edited by Bin Sheng, Hao Chen, Tien Yin Wong.
其他題名:	MICCAI Challenge MMAC 2023, held in conjunction with MICCAI 2023, virtual event, October 8-12, 2023 : proceedings /
其他題名:	MMAC 2023
其他作者:	Sheng, Bin.
團體作者:	Myopic Maculopathy Analysis Challenge
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	x, 122 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Eye - Diseases -
電子資源:	https://doi.org/10.1007/978-3-031-54857-4
ISBN:	9783031548574

Myopic maculopathy analysis = MICCAI Challenge MMAC 2023, held in conjunction with MICCAI 2023, virtual event, October 8-12, 2023 : proceedings /
Myopic maculopathy analysisMICCAI Challenge MMAC 2023, held in conjunction with MICCAI 2023, virtual event, October 8-12, 2023 : proceedings /[electronic resource] :MMAC 2023edited by Bin Sheng, Hao Chen, Tien Yin Wong. - Cham :Springer Nature Switzerland :2024. - x, 122 p. :ill., digital ;24 cm. - Lecture notes in computer science,145630302-9743 ;. - Lecture notes in computer science ;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.

ISBN: 9783031548574

Standard No.: 10.1007/978-3-031-54857-4doiSubjects--Topical Terms:

669542
Eye
--Diseases

LC Class. No.: RE75

Dewey Class. No.: 617.715

Myopic maculopathy analysis = MICCAI Challenge MMAC 2023, held in conjunction with MICCAI 2023, virtual event, October 8-12, 2023 : proceedings /
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