Automatic segmentation of hard exudates in fundus images based on boosted soft segmentation

In this paper, we propose an effective framework to automatically segment hard exudates (HEs) in fundus images. Our framework is based on a coarse-to-fine strategy, as we first get a coarse result allowed of some negative samples, then eliminate the negative samples step by step. In our framework, w...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Guoliang Fang, Nan Yang, Huchuan Lu, Kaisong Li
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biomedical imaging Image color analysis Image edge detection Image segmentation Optical imaging Pixel Retina
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