Domain-invariant interpretable fundus image quality assessment

•A framework for fundus image quality assessment filters the image with quality defects and provides visual feedback for real-time image reacquisition.•The proposed semi-tied adversarial discriminative domain adaptation model improves the generalization performance across different datasets with var...

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Veröffentlicht in:	Medical image analysis 2020-04, Vol.61, p.101654-101654, Article 101654
Hauptverfasser:	Shen, Yaxin, Sheng, Bin, Fang, Ruogu, Li, Huating, Dai, Ling, Stolte, Skylar, Qin, Jing, Jia, Weiping, Shen, Dinggang
Format:	Artikel
Sprache:	eng
Schlagworte:	Datasets as Topic Domain adaptation Fundus image quality assessment Fundus Oculi Humans Image Interpretation, Computer-Assisted - methods Interpretability Machine Learning Multi-task learning Optic Disk - diagnostic imaging Photography Retinal Diseases - diagnostic imaging
Online-Zugang:	Volltext
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