{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T03:03:20Z","timestamp":1780715000505,"version":"3.54.1"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T00:00:00Z","timestamp":1641513600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Healthcare Engineering"],"published-print":{"date-parts":[[2022,1,7]]},"abstract":"<jats:p>Glaucoma is a disease where the optic nerve of the eyes is smashed up due to the building up of pressure inside the vision point. This has no symptoms at the initial stages, and hence, patients with this disease cannot identify them at the beginning stage. It is explained as if the pressure in the eye increases, then it will hurt the optic nerve which sends images to the brain. This will lead to permanent vision loss or total blindness. The existing method used for the detection of glaucoma includes k-nearest neighbour and support vector machine algorithms. The k-nearest neighbour algorithm and support vector machine algorithm are the machine learning methods for both categorization and degeneration problems. The drawback in using these algorithms is that we can get accuracy level only up to 80%. The proposed methods in this study focus on the convolution neural network for the recognition of glaucoma. In this study, 2 architectures of VGG, Inception method, AlexNet, GoogLeNet, and ResNet architectures which provide accuracy levels up to 100% are presented.<\/jats:p>","DOI":"10.1155\/2022\/7873300","type":"journal-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T17:21:27Z","timestamp":1641576087000},"page":"1-9","source":"Crossref","is-referenced-by-count":13,"title":["Comparison of CNN Algorithms for Feature Extraction on Fundus Images to Detect Glaucoma"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6379-9727","authenticated-orcid":true,"given":"V.","family":"Sunanthini","sequence":"first","affiliation":[{"name":"Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6515-3575","authenticated-orcid":true,"given":"J.","family":"Deny","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2569-4929","authenticated-orcid":true,"given":"E.","family":"Govinda Kumar","sequence":"additional","affiliation":[{"name":"Department of Electronics and Instrumentation Engineering, Karpagam College of Engineering, Coimbatore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5405-3085","authenticated-orcid":true,"given":"S.","family":"Vairaprakash","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, Ramco Institute of Technology, Rajapalayam, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8091-0749","authenticated-orcid":true,"given":"Petchinathan","family":"Govindan","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Technology, Ethiopian Technical University, Addis Ababa, Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5591-0931","authenticated-orcid":true,"given":"S.","family":"Sudha","sequence":"additional","affiliation":[{"name":"Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8061-8529","authenticated-orcid":true,"given":"V.","family":"Muneeswaran","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7729-3273","authenticated-orcid":true,"given":"M.","family":"Thilagaraj","sequence":"additional","affiliation":[{"name":"Department of Electronics and Instrumentation Engineering, Karpagam College of Engineering, Coimbatore, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","first-page":"1","article-title":"Glaucoma detection using fundus images of the eye","author":"J. 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