A comprehensive study of age-related macular degeneration detection

Chih Chung Hsu, Chia Yen Lee, Cheng Jhong Lin, Hung Yeh

研究成果: Article同行評審

摘要

Age-related macular degeneration (AMD) is an illness involving the degeneration of the macula of the retina. Fundus photography is the most affordable and convenient way to monitor individuals, in which AMD symptoms segmentation is necessary to assist clinical diagnosis. This study conducted a large number of experimental discussions on the annotation quality and symptoms categories to find a reliable learning strategy, and then applied it to early detection of AMD. Specifically, we discuss the inference of the representational power of the deep neural network, loss function selection, the preprocessing scheme of annotation augmentation, and the annotation quality of the dataset on prediction performance. This paper verified that different learning strategies need to be selected for the AMD symptoms segmentation tasks with varying characteristics of database, which can be used as a reference for developing the related research in the future. On the other hand, we demonstrated that current medical datasets suffer from annotation quality uncertainty, leading to limited learning capabilities. In the future, it is necessary to develop methods to overcome the impact of datasets with poor annotation quality.

原文English
頁(從 - 到)11897-11916
頁數20
期刊Multimedia Tools and Applications
81
發行號9
DOIs
出版狀態Published - 2022 4月

All Science Journal Classification (ASJC) codes

  • 軟體
  • 媒體技術
  • 硬體和架構
  • 電腦網路與通信

指紋

深入研究「A comprehensive study of age-related macular degeneration detection」主題。共同形成了獨特的指紋。

引用此