{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ensemble-of-deep-convolutional-neural","title":"Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images","arxiv_id":"1603.04833","date":"2016-03-15","proceeding":null,"authors":["Debapriya Maji","Anirban Santara","Pabitra Mitra","Debdoot Sheet"],"abstract":"Vision impairment due to pathological damage of the retina can largely be\nprevented through periodic screening using fundus color imaging. However the\nchallenge with large scale screening is the inability to exhaustively detect\nfine blood vessels crucial to disease diagnosis. In this work we present a\ncomputational imaging framework using deep and ensemble learning for reliable\ndetection of blood vessels in fundus color images. An ensemble of deep\nconvolutional neural networks is trained to segment vessel and non-vessel areas\nof a color fundus image. During inference, the responses of the individual\nConvNets of the ensemble are averaged to form the final segmentation. In\nexperimental evaluation with the DRIVE database, we achieve the objective of\nvessel detection with maximum average accuracy of 94.7\\% and area under ROC\ncurve of 0.9283.","url_abs":"http://arxiv.org/abs/1603.04833v1","url_pdf":"http://arxiv.org/pdf/1603.04833v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"ensemble-of-deep-convolutional-neural","repo_url":"https://github.com/qiaotian/VesselSeg","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"ensemble-learning","task_name":"Ensemble Learning"},{"task_slug":"vessel-detection","task_name":"Vessel Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}