{"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/automated-strabismus-detection-for","title":"Automated Strabismus Detection for Telemedicine Applications","arxiv_id":"1809.02940","date":"2018-09-09","proceeding":null,"authors":["Jiewei Lu","Zhun Fan","Ce Zheng","Jingan Feng","Longtao Huang","Wenji Li","Erik D. Goodman"],"abstract":"Strabismus is one of the most influential ophthalmologic diseases in human's\nlife. Timely detection of strabismus contributes to its prognosis and\ntreatment. Telemedicine, which has great potential to alleviate the growing\ndemand of the diagnosis of ophthalmologic diseases, is an effective method to\nachieve timely strabismus detection. In this paper, a tele strabismus dataset\nis established by the ophthalmologists. Then an end-to-end framework named as\nRF-CNN is proposed to achieve automated strabismus detection on the established\ntele strabismus dataset. RF-CNN first performs eye region segmentation on each\nindividual image, and further classifies the segmented eye regions with deep\nneural networks. The experimental results on the established tele strabismus\ndataset demonstrates that the proposed RF-CNN can have a good performance on\nautomated strabismus detection for telemedicine application. Code is made\npublicly available at:\nhttps://github.com/jieWeiLu/Strabismus-Detection-for-Telemedicine-Application.","url_abs":"http://arxiv.org/abs/1809.02940v3","url_pdf":"http://arxiv.org/pdf/1809.02940v3.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":"automated-strabismus-detection-for","repo_url":"https://github.com/jieWeiLu/Strabismus-Detection-for-Telemedicine-Application","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"prognosis","task_name":"Prognosis"}],"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}