Automated glaucoma identification using retinal fundus images: A hybrid texture feature extraction paradigm

M.R.K. Mookiah, U.R. Acharya, C. Chakraborty, L.C. Min, E.Y.K. Ng, J.S. Suri

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)
Original languageEnglish
Title of host publicationImage Analysis and Modeling in Ophthalmology
EditorsEddie Y K Ng, U. Rajendra Acharya, Jasfit S. Suri, Aurelio Campilho
Chapter2
Pages9-22
Number of pages409
ISBN (Electronic)9780429098130
DOIs
Publication statusPublished - 22 Nov 2017

Cite this

Mookiah, M. R. K., Acharya, U. R., Chakraborty, C., Min, L. C., Ng, E. Y. K., & Suri, J. S. (2017). Automated glaucoma identification using retinal fundus images: A hybrid texture feature extraction paradigm. In E. Y. K. Ng, U. R. Acharya, J. S. Suri, & A. Campilho (Eds.), Image Analysis and Modeling in Ophthalmology (pp. 9-22) https://doi.org/10.1201/b16510