Performance comparison of publicly available retinal blood vessel segmentation methods

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• 作者：Pavel Vostatek^a ; Ela Claridge^b ; Hannu Uusitalo^c ; Markku Hauta-Kasari^d ; Pauli Fä ; lt^d ; Lasse Lensu^a ; ^{lasse.lensu@lut.fi}
• 关键词：Fundus ; Retinal imaging ; Vessel segmentation
• 刊名：Computerized Medical Imaging and Graphics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：55
• 期：Complete
• 页码：2-12
• 全文大小：1737 K
• 卷排序：55

文摘

Comparison of 5 publicly available retinal blood vessel segmentation methods on 5 databases. Optimization of parameters of each method for each database. Prediction of the parameters based on database properties. Testing of 2 types of image preprocessing within each method and suggesting better one for each method. Comparison of the methods with recent state-of-the-art.