TY - JOUR AU - Acharya, U. R. AU - Dua, S. AU - Du, X. AU - Vinitha Sree, S. AU - Chua, C. K. PY - 2011 DA - 2011// TI - Automated diagnosis of glaucoma using texture and higher order spectra features JO - IEEE Trans Inf Technol Biomed VL - 15 UR - https://doi.org/10.1109/TITB.2011.2119322 DO - 10.1109/TITB.2011.2119322 ID - Acharya2011 ER - TY - STD TI - Ahmad H, Yamin A, Shakeel A, Gillani SO, Ansari U (2014) Detection of glaucoma using retinal fundus images. In: 2014 international conference on robotics and emerging allied technologies in engineering (iCREATE). IEEE, pp 321–324 ID - ref2 ER - TY - STD TI - Akhade SB, Deshmukh VU, Deosarkar SB (2014) Automatic optic disc detection in digital fundus images using image processing techniques. In: 2014 international conference on information communication and embedded systems (ICICES). IEEE, pp 1–5 ID - ref3 ER - TY - STD TI - Bock R, Meier J, Michelson G, Nyúl LG, Hornegger J (2007) Classifying glaucoma with image-based features from fundus photographs. In: Hamprecht FA (ed) Joint pattern recognition symposium. Lecture notes in computer science, vol 4713. Springer, Berlin, Heidelberg, pp 355–364 ID - ref4 ER - TY - JOUR AU - Cheng, J. AU - Liu, J. AU - Xu, Y. AU - Yin, F. AU - Wong, D. W. K. AU - Tan, N. M. AU - Wong, T. Y. PY - 2013 DA - 2013// TI - Superpixel classification based optic disc and optic cup segmentation for glaucoma screening JO - IEEE Trans Med Imaging VL - 32 UR - https://doi.org/10.1109/TMI.2013.2247770 DO - 10.1109/TMI.2013.2247770 ID - Cheng2013 ER - TY - JOUR AU - Cheng, J. AU - Yin, F. AU - Wong, D. W. K. AU - Tao, D. AU - Liu, J. PY - 2015 DA - 2015// TI - Sparse dissimilarity-constrained coding for glaucoma screening JO - Biomed Eng VL - 62 ID - Cheng2015 ER - TY - STD TI - Damon WWK, Liu J, Meng TN, Fengshou Y, Yin WT (2012) Automatic detection of the optic cup using vessel kinking in digital retinal fundus images. In: 2012 9th IEEE international symposium on biomedical imaging (ISBI). IEEE, pp 1647–1650 ID - ref7 ER - TY - STD TI - Dutta MK, Mourya AK, Singh A, Parthasarathi M, Burget R, Riha K (2014) Glaucoma detection by segmenting the super pixels from fundus colour retinal images. In: 2014 international conference on medical imaging, m-health and emerging communication systems (MedCom). IEEE, pp 86–90 ID - ref8 ER - TY - STD TI - Forsyth DA, Ponce J (2003) A modern approach. Computer vision: a modern approach ID - ref9 ER - TY - STD TI - GeethaRamani R, Dhanapackiam C (2014) Automatic localization and segmentation of Optic Disc in retinal fundus images through image processing techniques. In: 2014 international conference on recent trends in information technology (ICRTIT). IEEE, pp 1–5 ID - ref10 ER - TY - STD TI - http://www.geteyesmart.org/eyesmart/diseases/glaucoma/ UR - http://www.geteyesmart.org/eyesmart/diseases/glaucoma/ ID - ref11 ER - TY - STD TI - Kavitha S, Karthikeyan S, Duraiswamy K (2010) Early detection of glaucoma in retinal images using cup to disc ratio. In: 2010 international conference on computing communication and networking technologies (ICCCNT). IEEE, pp 1–5 ID - ref12 ER - TY - STD TI - Khalil T, Khalid S, Syed AM (2014) Review of Machine Learning techniques for glaucoma detection and prediction. In: Science and information conference (SAI), 2014. IEEE, pp 438–442 ID - ref13 ER - TY - STD TI - Khan F, Khan SA, Yasin UU, Ul Haq I, Qamar U (2013) Detection of glaucoma using retinal fundus images. In: 2013 6th biomedical engineering international conference (BMEiCON). IEEE, pp 1–5 ID - ref14 ER - TY - STD TI - Murthi A, Madheswaran M (2012) Enhancement of optic cup to disc ratio detection in glaucoma diagnosis. In: 2012 International conference on computer communication and informatics (ICCCI), IEEE, pp 1–5 ID - ref15 ER - TY - STD TI - Noor N, Khalid N, Ariff N (2013) Optic cup and disc color channel multi-thresholding segmentation. In: 2013 IEEE international conference on control system, computing and engineering (ICCSCE). IEEE, pp 530–534 ID - ref16 ER - TY - STD TI - Ojala T, Pietikäinen M, Mäenpää T (2000) Gray scale and rotation invariant texture classification with local binary patterns. In: Computer vision-ECCV 2000. Springer, Berlin, pp 404–420 ID - ref17 ER - TY - STD TI - Poshtyar A, Shanbehzadeh J, Ahmadieh H (2013) Automatic measurement of cup to disc ratio for diagnosis of glaucoma on retinal fundus images. In: 2013 6th international conference on biomedical engineering and informatics (BMEI). IEEE, pp 24–27 ID - ref18 ER - TY - JOUR AU - Quigley, H. A. AU - Broman, A. T. PY - 2006 DA - 2006// TI - The number of people with glaucoma worldwide in 2010 and 2020 JO - Br J Ophthalmol VL - 90 UR - https://doi.org/10.1136/bjo.2005.081224 DO - 10.1136/bjo.2005.081224 ID - Quigley2006 ER - TY - JOUR AU - Raja, C. AU - Gangatharan, N. PY - 2015 DA - 2015// TI - A Hybrid Swarm Algorithm for optimizing glaucoma diagnosis JO - Comput Biol Med VL - 63 UR - https://doi.org/10.1016/j.compbiomed.2015.05.018 DO - 10.1016/j.compbiomed.2015.05.018 ID - Raja2015 ER - TY - STD TI - Ruengkitpinyo W, Kongprawechnon W, Kondo T, Bunnun P, Kaneko H (2015) Glaucoma screening using rim width based on ISNT rule. In: 2015 6th international conference of information and communication technology for embedded systems (IC-ICTES). IEEE, pp 1–5 ID - ref21 ER - TY - STD TI - Salam AA, Akram MU, Abbas S, Anwar SM (2015) Optic disc localization using local vessel based features and support vector machine. In: 2015 IEEE 15th international conference on bioinformatics and bioengineering (BIBE). IEEE, pp 1–6 ID - ref22 ER - TY - STD TI - Simonthomas S, Thulasi N, Asharaf P (2014) Automated diagnosis of glaucoma using Haralick texture features. In: 2014 international conference on information communication and embedded systems (ICICES). IEEE, pp 1–6 ID - ref23 ER - TY - STD TI - Talib A, Mahmuddin M, Husni H, George LE (2013) Efficient, compact, and dominant color correlogram descriptors for content-based image retrieval ID - ref24 ER - TY - STD TI - Tan NM, Liu J, Wong DWK, Yin F, Lim JH, Wong TY (2010) Mixture model-based approach for optic cup segmentation. In: 2010 Annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE, pp 4817–4820 ID - ref25 ER - TY - STD TI - The Basics: Direct and Indirect Ophthalmoscopy (2015). http://www.elsevieradvantage.com UR - http://www.elsevieradvantage.com ID - ref26 ER - TY - JOUR AU - Thylefors, B. AU - Negrel, A. D. PY - 1994 DA - 1994// TI - The global impact of glaucoma JO - Bull World Health Organization. VL - 72 ID - Thylefors1994 ER - TY - STD TI - Usman A, Khitran SA, Akram MU, Nadeem, Y (2014) A robust algorithm for optic disc segmentation from colored fundus images. In: Campilho A (ed) International conference image analysis and recognition. Lecture notes in computer science, vol. 8815. Springer International Publishing, pp 303–310 ID - ref28 ER - TY - STD TI - Wong DWK, Liu J, Tan NM, Fengshou Y, Cheung C, Baskaran M, Wong TY (2012) An ensembling approach for optic cup detection based on spatial heuristic analysis in retinal fundus images. In: 2012 Annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE, pp 1426–1429 ID - ref29 ER - TY - STD TI - Xu Y, Quan Y, Huang Y, MengTan N, Li R, Duan L, Liu J (2014) Local patch reconstruction framework for optic cup localization in glaucoma detection. In: 2014 36th annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE, pp 5418–5421 ID - ref30 ER - TY - STD TI - Yin F, Liu J, Wong DWK, Tan NM, Cheung C, Baskaran M, Wong TY (2012) Automated segmentation of optic disc and optic cup in fundus images for glaucoma diagnosis. In: 2012 25th international symposium on computer-based medical systems (CBMS). IEEE, pp 1–6 ID - ref31 ER -