Osprey Gannet optimization enabled CNN based Transfer learning for optic disc detection and cardiovascular risk prediction using retinal fundus images

•The pre-processing process utilizing bilateral filter.•The OD detection is done by Osprey Gannet-active counter model trained by OGO.•CV risk prediction is accomplished by CNN-based TL trained by OGO. The identification of retinal vascular features that have been demonstrated to predict cardiovascu...

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Veröffentlicht in:	Biomedical signal processing and control Jg. 93; S. 106177
Hauptverfasser:	Balasubramaniam, S, Kadry, Seifedine, Satheesh Kumar, K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2024
Schlagworte:	Cardiovascular disease (CVD) Convolutional neural network (CNN) Optic disc (OD) Retinal fundus image Transfer learning (TL) Transfer learning (TL) Convolutional neural network (CNN) Optic disc (OD) Retinal fundus image Cardiovascular disease (CVD)
ISSN:	1746-8094, 1746-8108
Online-Zugang:	Volltext
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