Myopic Maculopathy Analysis

Myopic Maculopathy Analysis portes grátis

Myopic Maculopathy Analysis

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

Sheng, Bin; Wong, Tien Yin; Chen, Hao

Springer International Publishing AG

02/2024

121

Mole

Inglês

9783031548567

15 a 20 dias

Descrição não disponível.
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.
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Machine learning;Artificial intelligence;Computer vision;Scene understanding;Neural networks;Knowledge representation and reasoning;Medical images;Deep learning