Automatic detection of hard and soft exudates from retinal fundus images

作者: Bálint Borsos , László Nagy , David Iclănzan , László Szilágyi

DOI: 10.2478/AUSI-2019-0005

关键词:

摘要:

参考文章(24)
László Szilágyi, Sándor M Szilágyi, Balázs Benyó, None, Efficient inhomogeneity compensation using fuzzy c-means clustering models Computer Methods and Programs in Biomedicine. ,vol. 108, pp. 80- 89 ,(2012) , 10.1016/J.CMPB.2012.01.005
Sohini Roychowdhury, Dara D. Koozekanani, Keshab K. Parhi, DREAM: diabetic retinopathy analysis using machine learning. IEEE Journal of Biomedical and Health Informatics. ,vol. 18, pp. 1717- 1728 ,(2014) , 10.1109/JBHI.2013.2294635
Carla Agurto, Victor Murray, Honggang Yu, Jeffrey Wigdahl, Marios Pattichis, Sheila Nemeth, E. Simon Barriga, Peter Soliz, A Multiscale Optimization Approach to Detect Exudates in the Macula IEEE Journal of Biomedical and Health Informatics. ,vol. 18, pp. 1328- 1336 ,(2014) , 10.1109/JBHI.2013.2296399
Luca Giancardo, Fabrice Meriaudeau, Thomas P Karnowski, Yaqin Li, Seema Garg, Kenneth W Tobin Jr, Edward Chaum, None, Exudate-based diabetic macular edema detection in fundus images using publicly available datasets. Medical Image Analysis. ,vol. 16, pp. 216- 226 ,(2012) , 10.1016/J.MEDIA.2011.07.004
Clara I. Sánchez, María García, Agustín Mayo, María I. López, Roberto Hornero, Retinal image analysis based on mixture models to detect hard exudates. Medical Image Analysis. ,vol. 13, pp. 650- 658 ,(2009) , 10.1016/J.MEDIA.2009.05.005
Désiré Sidibé, Ibrahim Sadek, Fabrice Mériaudeau, Discrimination of retinal images containing bright lesions using sparse coded features and SVM Computers in Biology and Medicine. ,vol. 62, pp. 175- 184 ,(2015) , 10.1016/J.COMPBIOMED.2015.04.026
Xiwei Zhang, Guillaume Thibault, Etienne Decencière, Beatriz Marcotegui, Bruno Laÿ, Ronan Danno, Guy Cazuguel, Gwénolé Quellec, Mathieu Lamard, Pascale Massin, Agnès Chabouis, Zeynep Victor, Ali Erginay, Exudate detection in color retinal images for mass screening of diabetic retinopathy Medical Image Analysis. ,vol. 18, pp. 1026- 1043 ,(2014) , 10.1016/J.MEDIA.2014.05.004
K. S. Deepak, J. Sivaswamy, Automatic assessment of macular edema from color retinal images IEEE Transactions on Medical Imaging. ,vol. 31, pp. 766- 776 ,(2012) , 10.1109/TMI.2011.2178856
Christopher E Hann, James A Revie, Darren Hewett, J Geoffrey Chase, Geoffrey M Shaw, None, Screening for Diabetic Retinopathy Using Computer Vision and Physiological Markers Journal of diabetes science and technology. ,vol. 3, pp. 819- 834 ,(2009) , 10.1177/193229680900300431
Jagadish Nayak, P Subbanna Bhat, Rajendra Acharya U, Choo M Lim, Manjunath Kagathi, Automated Identification of Diabetic Retinopathy Stages Using Digital Fundus Images Journal of Medical Systems. ,vol. 32, pp. 107- 115 ,(2008) , 10.1007/S10916-007-9113-9