Output details
11 - Computer Science and Informatics
University of Dundee
Article title
FABC : retinal vessel segmentation using AdaBoost
Type
D - Journal article
Title of journal
IEEE Transactions on Information Technology in Biomedicine
Article number
-
Volume number
14
Issue number
5
First page of article
1267
ISSN of journal
1089-7771
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
<23> Algorithm based on AdaBoost and novel feature vector to locate the vasculature in fundus images, outperforming then state of the art. One of the then very few examples of retinal vessel detection using machine learning, work was basis for international collaboration with the Univ of Palermo, funded by the Italian Government and the Royal Society of Edinburgh. Led to a final, powerful technique, accepted recently by Medical Image Analysis journal. Algorithm incorporated in the VAMPIRE software (now updated) for semi-automatic measurements of retinal vasculature, used in clinical studies at Edinburgh, Dundee and abroad.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Citation count
31
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
