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Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods.

G. Selvachandran, S. Quek, R. Paramesran, W. Ding, and L. Son. Artif. Intell. Rev., 56 (2): 915-964 (February 2023)

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A new Histogram Oriented Moments descriptor for multi-oriented moving text detection in video.V. Khare, P. Shivakumara, and P. Raveendran. Expert Syst. Appl., 42 (21): 7627-7640 (2015)Arbitrarily-oriented multi-lingual text detection in video.V. Khare, P. Shivakumara, R. Paramesran, and M. Blumenstein. Multim. Tools Appl., 76 (15): 16625-16655 (2017)Image encryption method based on chaotic fuzzy cellular neural networks.K. Ratnavelu, M. Kalpana, P. Balasubramaniam, K. Wong, and P. Raveendran. Signal Process., (2017)A method using uniform yellowing pigmentation to model the color perception of the elderly people.M. Hassan, R. Paramesran, Y. Tanaka, and K. Tanaka. Signal Image Video Process., 12 (6): 1019-1026 (2018)Color image processing system based on color/brightness constancy.S. Wong, S. Arii, R. Paramesran, and A. Taguchi. ISPACS, page 21-24. IEEE, (2015)Comparative analysis of underwater image enhancement methods in different color spaces.S. Wong, Y. Yu, N. Ho, and P. Raveendran. ISPACS, page 34-38. IEEE, (2014)Two level PCA to reduce noise and EEG from evoked potential signals.R. Palaniappan, S. Anandan, and P. Raveendran. ICARCV, page 1688-1693. IEEE, (2002)Efficient Hardware Accelerators for the Computation of Tchebichef Moments.K. Chang, P. Raveendran, B. Asli, and C. Lim. IEEE Trans. Circuits Syst. Video Techn., 22 (3): 414-425 (2012)Hessian semi-supervised extreme learning machine.G. Krishnasamy, and R. Paramesran. Neurocomputing, (2016)Eigenmoments.P. Yap, and P. Raveendran. Pattern Recognit., 40 (4): 1234-1244 (2007)

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Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods.

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Disambiguation of "Paramesran, Raveendran"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods.

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Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods.