Keywords: Image Classification [rss]
2018
[6] A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy (E. Pellegrini, G. Robertson, T.J. MacGillivray, J. van Hemert, G. Houston, E. Trucco), In IEEE Transactions on Medical Imaging, volume 37, 2018. [bib] [doi]
[5] A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis (M.S. Haleem, L. Han, J. van Hemert, B. Li, A. Fleming, L.R. Pasquale, B.J. Song), In Journal of Medical Systems, volume 42, 2018. [bib] [pdf] [doi]
2016
[4] Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy Images (M.S. Haleem, L. Han, J. van Hemert, A. Fleming, L.R. Pasquale, P.S. Silva, B.J. Song, L.P. Aiello), In Journal of Medical Systems, volume 40, 2016. [bib] [pdf] [doi]
2015
[3] Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases (M.S. Haleem, L. Han, J. van Hemert, B. Li, A. Fleming), In Biomedical and Health Informatics, IEEE Journal of, volume 19, 2015. [bib] [pdf] [doi]
2014
[2] Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy (E. Pellegrini, G. Robertson, E. Trucco, T.J. MacGillivray, C. Lupascu, J. van Hemert, M.C. Williams, D.E. Newby, E.J.R. van Beek, G. Houston), In Biomed. Opt. Express, OSA, volume 5, 2014. [bib] [pdf] [doi]
2013
[1] Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review (M.S. Haleem, L. Han, J. van Hemert, B. Li), In Computerized Medical Imaging and Graphics, Elsevier Science, volume 37, 2013. [bib] [pdf]
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