A compactness based saliency approach for leakages detection in fluorescein angiogram

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dc.contributor.author Zhao, Yitian
dc.contributor.author Su, Pan
dc.contributor.author Yang, Jian
dc.contributor.author Zhao, Yifan
dc.contributor.author Zheng, Yalin
dc.contributor.author Wang, Yongtian
dc.date.accessioned 2016-08-15T13:32:04Z
dc.date.available 2016-08-15T13:32:04Z
dc.date.issued 2016-07-26
dc.identifier.citation Zhao Y, Su P, Yang J, Zhao Y, Zheng Y, Wang Y, A compactness based saliency approach for leakages detection in fluorescein angiogram, International Journal of Machine Learning and Cybernetics, Vol. 8, Issue 6, December 2017, pp. 1971-1979 en_UK
dc.identifier.issn 1868-8071
dc.identifier.uri http://dx.doi.org/10.1007/s13042-016-0573-4
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/10300
dc.description.abstract This study has developed a novel saliency detection method based on compactness feature for detecting three common types of leakage in retinal fluorescein angiogram: large focal, punctate focal, and vessel segment leakage. Leakage from retinal vessels occurs in a wide range of retinal diseases, such as diabetic maculopathy and paediatric malarial retinopathy. The proposed framework consists of three major steps: saliency detection, saliency refinement and leakage detection. First, the Retinex theory is adapted to address the illumination inhomogeneity problem. Then two saliency cues, intensity and compactness, are proposed for the estimation of the saliency map of each individual superpixel at each level. The saliency maps at different levels over the same cues are fused using an averaging operator. Finally, the leaking sites can be detected by masking the vessel and optic disc regions. The effectiveness of this framework has been evaluated by applying it to different types of leakage images with cerebral malaria. The sensitivity in detecting large focal, punctate focal and vessel segment leakage is 98.1, 88.2 and 82.7 %, respectively, when compared to a reference standard of manual annotations by expert human observers. The developed framework will become a new powerful tool for studying retinal conditions involving retinal leakage. en_UK
dc.language.iso en en_UK
dc.publisher Springer Verlag en_UK
dc.rights Attribution-NonCommercial 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
dc.subject Saliency en_UK
dc.subject Compactness en_UK
dc.subject Leakage en_UK
dc.subject Fluorescein angiography en_UK
dc.subject Malarial retinopathy en_UK
dc.title A compactness based saliency approach for leakages detection in fluorescein angiogram en_UK
dc.type Article en_UK

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