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Myopic Maculopathy Analysis

MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8–12, 2023, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Bin Sheng

    1. Shanghai Jiao Tong University, Shanghai, China

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  2. Hao Chen

    1. Hong Kong University of Science and Technology, Hong Kong, Hong Kong

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    You can also search for this editor in PubMed   Google Scholar

  3. Tien Yin Wong

    1. Tsinghua University, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14563)

Included in the following conference series:

Conference proceedings info: MICCAI 2023.

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Table of contents (11 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction

    • Yihao Li, Philippe Zhang, Yubo Tan, Jing Zhang, Zhihan Wang, Weili Jiang et al.
    Pages 1-17

  3. Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images

    • Li Lu, Xuhao Pan, Panji Jin, Ye Ding
    Pages 18-30

  4. Towards Label-Efficient Deep Learning for Myopic Maculopathy Classification

    • Junlin Hou, Jilan Xu, Fan Xiao, Bo Zhang, Yiqian Xu, Yuejie Zhang et al.
    Pages 31-45

  5. Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation

    • Fan Xiao, Junlin Hou, Jilan Xu, Yiqian Xu, Bo Zhang, Yuejie Zhang et al.
    Pages 46-55

  6. Beyond MobileNet: An Improved MobileNet for Retinal Diseases

    • Wenhui Zhu, Peijie Qiu, Xiwen Chen, Huayu Li, Hao Wang, Natasha Lepore et al.
    Pages 56-65

  7. Prediction of Spherical Equivalent with Vanilla ResNet

    • Huayu Li, Wenhui Zhu, Xiwen Chen, Yalin Wang
    Pages 66-74

  8. Semi-supervised Learning for Myopic Maculopathy Analysis

    • Jónathan Heras
    Pages 75-82

  9. A Clinically Guided Approach for Training Deep Neural Networks for Myopic Maculopathy Classification

    • Fabian Yii
    Pages 83-94

  10. Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network

    • Jiawen Li, Jaehyeon Soon, Qilai Zhang, Qifan Zhang, Yonghong He
    Pages 95-105

  11. Self-supervised Learning and Data Diversity Based Prediction of Spherical Equivalent

    • Di Liu, Li Wei, Bo Yang
    Pages 106-112

  12. Myopic Maculopathy Analysis Using Multi-task Learning and Pseudo Labeling

    • Hyeonmin Kim, Hyeonseob Nam
    Pages 113-119

  13. Back Matter

    Pages 121-121
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Other volumes

  1. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  2. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  3. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  4. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  5. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  6. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  7. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  8. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  9. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  10. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

  11. Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology

  12. Data Augmentation, Labelling, and Imperfections

  13. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

  14. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops

  15. Deep Generative Models

  16. Myopic Maculopathy Analysis

Keywords

About this book

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.


Editors and Affiliations

  • Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  • Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    Hao Chen

  • Tsinghua University, Beijing, China

    Tien Yin Wong

Bibliographic Information

  • Book Title: Myopic Maculopathy Analysis

  • Book Subtitle: MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8–12, 2023, Proceedings

  • Editors: Bin Sheng, Hao Chen, Tien Yin Wong

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-54857-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-54856-7Published: 29 February 2024

  • eBook ISBN: 978-3-031-54857-4Published: 28 February 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 121

  • Number of Illustrations: 2 b/w illustrations, 31 illustrations in colour

  • Topics: Artificial Intelligence, Image Processing and Computer Vision

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