Automated method for identification and artery-venous classification of vessel trees in retinal vessel networks.
Automated method for identification and artery-venous classification of vessel trees in retinal vessel networks.
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DOI:
10.1371/journal.pone.0088061
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Abramoff MD
中科院分区:
文献类型:
--
作者:
Joshi VS;Reinhardt JM;Garvin MK;Abramoff MD
The separation of the retinal vessel network into distinct arterial and venous vessel trees is of high interest. We propose an automated method for identification and separation of retinal vessel trees in a retinal color image by converting a vessel segmentation image into a vessel segment map and identifying the individual vessel trees by graph search. Orientation, width, and intensity of each vessel segment are utilized to find the optimal graph of vessel segments. The separated vessel trees are labeled as primary vessel or branches. We utilize the separated vessel trees for arterial-venous (AV) classification, based on the color properties of the vessels in each tree graph. We applied our approach to a dataset of 50 fundus images from 50 subjects. The proposed method resulted in an accuracy of 91.44 correctly classified vessel pixels as either artery or vein. The accuracy of correctly classified major vessel segments was 96.42.
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影响因子:
10.6
作者:
Niemeijer, Meindert;Xu, Xiayu;Abramoff, Michael D.
通讯作者:
Abramoff, Michael D.
DOI:
10.1089/tmj.2005.11.668
发表时间:
2005-12-01
期刊:
TELEMEDICINE JOURNAL AND E-HEALTH
影响因子:
--
作者:
Abramoff, MD;Suttorp-Schulten, MSA
通讯作者:
Suttorp-Schulten, MSA
影响因子:
16.2
作者:
Abramoff, Michael D.;Niemeijer, Meindert;van Ginneken, Bram
通讯作者:
van Ginneken, Bram
影响因子:
8
作者:
AKITA, K;KUGA, H
通讯作者:
KUGA, H
影响因子:
13.7
作者:
Koreen, Susan;Gelman, Rony;Chiang, Michael F
通讯作者:
Chiang, Michael F