Myopic Maculopathy Analysis: MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual...

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Bin Sheng Hao Chen

Myopic Maculopathy Analysis

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

Bin Sheng, Hao Chen, Tien Yin Wong

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English

Springer International Publishing AG
29 February 2024

Graphics programming; Computer vision

Series: Lecture Notes in Computer Science

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.

Edited by: Bin Sheng, Hao Chen, Tien Yin Wong
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2024 ed.
Volume: 14563
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031548567
ISBN 10: 3031548566
Series: Lecture Notes in Computer Science
Pages: 121
Publication Date: 29 February 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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.