@inproceedings{5d823f7cc135453e9d04a99c21e02980,
title = "Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task",
abstract = "Vision-threatening pathological myopia presents several lesions affecting various retinal anatomical structures. Detection approaches, however, either focus on one anatomical feature or are not intentional. This study uses hypergraph learning to modulate delineated retinal anatomical features from fundus images and capitalize on hidden associations between them. Experiments are conducted to assess prediction performance when targeting a particular anatomical trait versus using a mixture of select anatomical features, and in comparison to a ResNet34-based convolutional neural network classifier. Results indicate better prediction with hypergraph learning on a mix of the delineated features (F1 score 89.75 %, AUC score 95.39 % ). A choroid tessellation segmentation method is also included.",
keywords = "Fundus, Multidimensional hypergraph, Pathological myopia",
author = "Bilha Githinji and Lei Shao and Lin An and Hao Zhang and Fang Li and Li Dong and Lan Ma and Yuhan Dong and Yongbing Zhang and Wei, {Wen B.} and Peiwu Qin",
note = "Funding Information: Acknowledgements. This work was supported in part by Science, Technology, Innovation Commission of Shenzhen Municipality (JSGG20191129110812708; JSGG 20200225150707332; WDZC20200820173710001; JCYJ20190809180003689), National Natural Science Foundation of China (31970752), Shenzhen Bay Laboratory Open Funding (SZBL2020090501004), China Postdoctoral Science Foundation (2020M680023), and General Administration of Customs of the People{\textquoteright}s Republic of China (2021HK007). Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 ; Conference date: 18-09-2022 Through 22-09-2022",
year = "2022",
doi = "10.1007/978-3-031-16434-7_53",
language = "English (US)",
isbn = "9783031164330",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "550--559",
editor = "Linwei Wang and Qi Dou and Fletcher, {P. Thomas} and Stefanie Speidel and Shuo Li",
booktitle = "Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings",
address = "Germany",
}