Intensity and compactness enabled saliency estimation for leakage detection in diabetic and malarial retinopathy

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dc.contributor.authorZhao, Yitian
dc.contributor.authorZheng, Yalin
dc.contributor.authorLiu, Yonghuai
dc.contributor.authorYang, Jian
dc.contributor.authorZhao, Yifan
dc.contributor.authorChen, Duanduan
dc.contributor.authorWang, Yongtian
dc.date.accessioned2016-08-16T15:50:37Z
dc.date.available2016-08-16T15:50:37Z
dc.date.issued2016-07-21
dc.description.abstractLeakage in retinal angiography currently is a key feature for confirming the activities of lesions in the management of a wide range of retinal diseases, such as diabetic maculopathy and paediatric malarial retinopathy. This paper proposes a new saliency-based method for the detection of leakage in fluorescein angiography. A superpixel approach is firstly employed to divide the image into meaningful patches (or superpixels) at different levels. Two saliency cues, intensity and compactness, are then 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. The two saliency maps over different cues are fused using a pixel-wise multiplication operator. Leaking regions are finally detected by thresholding the saliency map followed by a graph-cut segmentation. The proposed method has been validated using the only two publicly available datasets: one for malarial retinopathy and the other for diabetic retinopathy. The experimental results show that it outperforms one of the latest competitors and performs as well as a human expert for leakage detection and outperforms several state-of-the-art methods for saliency detection.en_UK
dc.identifier.citationYitian Zhao, Yalin Zheng, Yonghuai Liu, Jian Yang , Yifan Zhao, Duanduan Chen and Yongtian Wang. Intensity and compactness enabled saliency estimation for leakage detection in diabetic and malarial retinopathy. IEEE Transactions on Medical Imaging. 2017, January, Vol.36(1), pp51-63en_UK
dc.identifier.issn0278-0062
dc.identifier.urihttp://dx.doi.org/10.1109/TMI.2016.2593725
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10322
dc.language.isoenen_UK
dc.publisherInstitute of Electrical and Electronics Engineersen_UK
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectleakageen_UK
dc.subjectdiabeticen_UK
dc.subjectmalarialen_UK
dc.subjectretinopathyen_UK
dc.subjectfluorescein angiogramen_UK
dc.subjectsaliencyen_UK
dc.subjectsegmentationen_UK
dc.titleIntensity and compactness enabled saliency estimation for leakage detection in diabetic and malarial retinopathyen_UK
dc.typeArticleen_UK

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