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Ophthalmic Medical Image Analysis

11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

  • Conference proceedings
  • © 2025

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15188)

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Conference proceedings info: OMIA 2024.

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About this book

This book constitutes the refereed proceedings of the 11th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2024, held in conjunction with the 27th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, in October 2024.

The 16 papers presented in this book were carefully reviewed and selected from 31 submissions. The papers cover various topics such as computer-aided detection and diagnosis of disease; image analysis of novel ophthalmic imaging modalities; multimodal ophthalmic image analysis; ophthalmic image atlases; ophthalmic image analysis in animals; registration of ophthalmic images, including multimodal, segmentation of structures (e.g., vasculature, lesions, landmarks), combined analysis of images of the eye and other organs; validation; and/or crowd sourcing.

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Table of contents (16 papers)

Other volumes

  1. Ophthalmic Medical Image Analysis

Editors and Affiliations

  • Federation University Australia, Mount Helen, Australia

    Antony Bhavna

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

    Hao Chen

  • Pazhou Lab., Guangzhou, China

    Huihui Fang

  • Institute of High Performance Computing, Singapore, Singapore

    Huazhu Fu

  • University of Washington, Seattle, USA

    Cecilia S. Lee

Bibliographic Information

  • Book Title: Ophthalmic Medical Image Analysis

  • Book Subtitle: 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

  • Editors: Antony Bhavna, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-73119-8

  • 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 2025

  • Softcover ISBN: 978-3-031-73118-1Published: 10 October 2024

  • eBook ISBN: 978-3-031-73119-8Published: 09 October 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 168

  • Number of Illustrations: 5 b/w illustrations, 57 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Pattern Recognition, Computer Communication Networks

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