Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images-Reference-Cited by-同舟云学术

Improved Automatic Diabetic Retinopathy Severity Classification Using Deep Multimodal Fusion of UWF-CFP and OCTA Images

Published:2023 Issue: Volume: Page:11-20
ISSN:0302-9743
Container-title:Ophthalmic Medical Image Analysis
language:
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Author:

El Habib Daho Mostafa,Li Yihao,Zeghlache Rachid,Atse Yapo Cedric,Le Boité Hugo,Bonnin Sophie,Cosette Deborah,Deman Pierre,Borderie Laurent,Lepicard Capucine,Tadayoni Ramin,Cochener Béatrice,Conze Pierre-Henri,Lamard Mathieu,Quellec Gwenolé

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-44013-7_2

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4. El-Sappagh, S., Abuhmed, T., Islam, S.R., Kwak, K.S.: Multimodal multitask deep learning model for Alzheimer’s disease progression detection based on time series data. Neurocomputing 412, 197–215 (2020)

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