Open Access Open Access  Restricted Access Subscription or Fee Access

Neural Network Based Diagnosis of Glaucoma

R. Priya, Dr. P. Aruna, B. Ramkumar

Abstract


Glaucoma is one of the major reasons for blindness. Untreated glaucoma can lead to permanent damage of the optic nerve and resultant visual field loss, which over time can progress to blindness. For this reason, early detection of glaucoma is essential for affected patients. This paper is focused on classifying glaucoma with image-based features from fundus photographs. So in this work, we have detected the glaucoma disease in the retinal optical images. The extent of the disease spread can be identified by extracting the features of the retina. Detection of the disease is done using Probabilistic Neural Network (PNN) classifier. The accuracy of the proposed system is 94.54 %.

Keywords


Retina, Probabilistic Neural Network, Accuracy, Sensitivity, Specificity

Full Text:

PDF

References


Madhusudan Mishra, Malaya Kumar Nath and Samarendra Dandapat “Glaucoma Detection from Color Fundus Images” International Journal of Computer & Communication Technology (IJCCT), Volume-2, Issue-VI, 2011.

Rüdiger Bock, Jörg Meier, László G. Nyúl , Joachim Hornegger , Georg Michelson. ”Glaucoma risk index: Automated glaucoma detection from color fundus images” Medical Image Analysis 14 (2010) 471–481.

K. Sai Deepak ,Madhulika Jain , Gopal Datt Joshi, Jayanthi Sivaswamy “Motion pattern-based image features for glaucoma detection from retinal images” 2012.

Zhuo Zhang, Chee Keong Kwoh, Jiang Liu, Carol Yim Lui Cheung, Tin Aung and Tien Yin Wong. “Automatic Glaucoma Diagnosis with mRMR-based Feature Selection” Zhang et al., J Biomet Biostat 2012, S7.

Yuji Hatanaka, Atsushi Noudo, Chisako Muramatsu, Akira Sawada, Takeshi Hara, Tetsuya Yamamoto, Hiroshi Fujita “Vertical cup-to-disc ratio measurement for diagnosis of glaucoma on fundus images” Medical Imaging 2010.

R. Chrastek , M. Wolf , K. Donath , H. Niemann , D. Paulus , T. Hothorn , B. Lausen , R. Lammer , C.Y. Mardin, G. Michelson “Automated segmentation of the optic nerve head for diagnosis of glaucoma” 297–314 Medical Image Analysis 9 (2005).

Jagadish Nayak & Rajendra Acharya U. & P. Subbanna Bhat & Nakul Shetty & Teik-Cheng Lim ”Automated Diagnosis of Glaucoma Using Digital Fundus Images” 33:337–346 DOI 10.1007/s 10916-008-9195-z, J Med Syst (2009).


Refbacks

  • There are currently no refbacks.