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Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies.

J. Koh, U. Acharya, Y. Hagiwara, U. Raghavendra, J. Tan, S. Sree, S. Bhandary, A. Rao, S. Sivaprasad, K. Chua, A. Laude, and L. Tong. Comput. Biol. Medicine, (2017)

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J-Raghavendra Rao

U Lechner

U Johanningmeier

U Linz

U Eysholdt

Other publications of authors with the same name

Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features.U. Acharya, Y. Hagiwara, J. Koh, J. Tan, S. Bhandary, A. Rao, and U. Raghavendra. J. Comput. Sci., (2017)A review on automatic detection and recognition of traffic sign.A. Gudigar, S. Chokkadi, and U. Raghavendra. Multimedia Tools Appl., 75 (1): 333-364 (2016)A deep learning approach for Parkinson's disease diagnosis from EEG signals.S. Oh, Y. Hagiwara, U. Raghavendra, Y. Rajamanickam, A. N., M. Murugappan, and U. Acharya. Neural Comput. Appl., 32 (15): 10927-10933 (2020)Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images.U. Raghavendra, A. Gudigar, M. Maithri, A. Gertych, K. Meiburger, C. Yeong, C. Madla, P. Kongmebhol, F. Molinari, K. Ng and 1 other author(s). Comput. Biol. Medicine, (2018)Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies.J. Koh, U. Acharya, Y. Hagiwara, U. Raghavendra, J. Tan, S. Sree, S. Bhandary, A. Rao, S. Sivaprasad, K. Chua and 2 other author(s). Comput. Biol. Medicine, (2017)Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives.U. Raghavendra, A. Gudigar, A. Paul, T. Goutham, M. Inamdar, A. Hegde, A. Devi, C. Ooi, R. Deo, P. Barua and 3 other author(s). Comput. Biol. Medicine, (September 2023)Global weighted LBP based entropy features for the assessment of pulmonary hypertension.A. Gudigar, U. Raghavendra, T. Devasia, K. Nayak, S. Danish, G. Kamath, J. Samanth, U. Pai, V. Nayak, R. Tan and 2 other author(s). Pattern Recognit. Lett., (2019)Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study.U. Raghavendra, A. Gudigar, T. Rao, V. Rajinikanth, E. Ciaccio, C. Yeong, S. Satapathy, F. Molinari, and U. Acharya. Int. J. Imaging Syst. Technol., 32 (2): 501-516 (2022)Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images.U. Raghavendra, U. Acharya, H. Fujita, A. Gudigar, J. Tan, and S. Chokkadi. Appl. Soft Comput., (2016)An efficient encoding algorithm for image compression hardware based on cellular automata.S. Bhattacharjee, U. Raghavendra, D. Chowdhury, and P. Chaudhuri. HiPC, page 239-244. IEEE Computer Society, (1996)

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Disambiguation of "Raghavendra, U."

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Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies.

Please choose a person to relate this publication to

J-Raghavendra Rao

U Lechner

U Johanningmeier

U Linz

U Eysholdt

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Raghavendra, U."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies.

Please choose a person to relate this publication to

J-Raghavendra Rao

U Lechner

U Johanningmeier

U Linz

U Eysholdt

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies.