Retinal OCTA Image Segmentation Based on Global Contrastive Learning

The automatic segmentation of retinal vessels is of great significance for the analysis and diagnosis of retinal related diseases. However, the imbalanced data in retinal vascular images remain a great challenge. Current image segmentation methods based on deep learning almost always focus on local...

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Principais autores:	Ziping Ma, Dongxiu Feng, Jingyu Wang, Hu Ma
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2022-12-01
סדרה:	Sensors
נושאים:	medical image processing image segmentation optical coherence tomography angiography retinal vascular plexus imbalanced data contrastive learning
גישה מקוונת:	https://www.mdpi.com/1424-8220/22/24/9847
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!