Yanbao: A Mobile App Using the Measurement of Clinical Parameters for Glaucoma Screening
Glaucoma is the second leading cause of blindness worldwide, and vision loss from glaucoma cannot be reversed. To remedy this issue, in this paper, a user-friendly mobile App, named Yanbao, is developed. Yanbao App is expected to help users conveniently share high-quality glaucoma screening service...
Gespeichert in:
Veröffentlicht in: | IEEE access 2018, Vol.6, p.77414-77428 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 77428 |
---|---|
container_issue | |
container_start_page | 77414 |
container_title | IEEE access |
container_volume | 6 |
creator | Guo, Fan Mai, Yuxiang Zhao, Xin Duan, Xuanchu Fan, Zhun Zou, Beiji Xie, Bin |
description | Glaucoma is the second leading cause of blindness worldwide, and vision loss from glaucoma cannot be reversed. To remedy this issue, in this paper, a user-friendly mobile App, named Yanbao, is developed. Yanbao App is expected to help users conveniently share high-quality glaucoma screening service by using the proposed glaucoma screening algorithm based on clinical parameters. To the best of our knowledge, it is the first App specially designed for screening glaucoma. The main advantages of our App are: 1) the App has been developed for smartphone, which can be conveniently used at any place and at any time; 2) experiments on both public fundus database and real clinical data demonstrate that the App has good detection and classification accuracy; and 3) users' feedback seems to be quite promising in terms of real-time testing and user experience. Thus, the App could be suitable for glaucoma screening in practice to improve the efficiency of clinicians, balance medical resources, and provide better tiered medical services. The Yanbao App can be available from the website http://url.cn/57tk9jT . |
doi_str_mv | 10.1109/ACCESS.2018.2882946 |
format | Article |
fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_proquest_journals_2455892020</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8543570</ieee_id><doaj_id>oai_doaj_org_article_54a36ae25faf4d67a6f629b5a74d3a62</doaj_id><sourcerecordid>2455892020</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-dce301ea650f1937ec1b0e9a9396107ab81f34cb46a0067535ca4c3024d22c973</originalsourceid><addsrcrecordid>eNpNkU1Lw0AQhoMoKOov8LLguXW_k_VWgh-FFoUq6GmZbGZrSpqtu-nBf280RZzLDC_zvjPwZNkVo1PGqLmZleXdajXllBVTXhTcSH2UnXGmzUQooY__zafZZUobOlQxSCo_y97eoasg3JIZWYaqaZHMdjvymppuTfoPJEuEtI-4xa4nwZOybbrGQUueIcIWe4yJ-BDJQwt7F7ZAVi4idoP7Ijvx0Ca8PPTz7PX-7qV8nCyeHublbDFxkhb9pHYoKEPQinpmRI6OVRQNGGE0ozlUBfNCukpqoFTnSigH0gnKZc25M7k4z-Zjbh1gY3ex2UL8sgEa-yuEuLYQ-8a1aJUEoQG58uBlrXPQXnNTKchlLUDzIet6zNrF8LnH1NtN2MdueN9yqVRhOOV02BLjloshpYj-7yqj9oeIHYnYHyL2QGRwXY2uBhH_HIWSQuVUfAN40oWA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2455892020</pqid></control><display><type>article</type><title>Yanbao: A Mobile App Using the Measurement of Clinical Parameters for Glaucoma Screening</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Guo, Fan ; Mai, Yuxiang ; Zhao, Xin ; Duan, Xuanchu ; Fan, Zhun ; Zou, Beiji ; Xie, Bin</creator><creatorcontrib>Guo, Fan ; Mai, Yuxiang ; Zhao, Xin ; Duan, Xuanchu ; Fan, Zhun ; Zou, Beiji ; Xie, Bin</creatorcontrib><description>Glaucoma is the second leading cause of blindness worldwide, and vision loss from glaucoma cannot be reversed. To remedy this issue, in this paper, a user-friendly mobile App, named Yanbao, is developed. Yanbao App is expected to help users conveniently share high-quality glaucoma screening service by using the proposed glaucoma screening algorithm based on clinical parameters. To the best of our knowledge, it is the first App specially designed for screening glaucoma. The main advantages of our App are: 1) the App has been developed for smartphone, which can be conveniently used at any place and at any time; 2) experiments on both public fundus database and real clinical data demonstrate that the App has good detection and classification accuracy; and 3) users' feedback seems to be quite promising in terms of real-time testing and user experience. Thus, the App could be suitable for glaucoma screening in practice to improve the efficiency of clinicians, balance medical resources, and provide better tiered medical services. The Yanbao App can be available from the website http://url.cn/57tk9jT .</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2018.2882946</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Applications programs ; Biomedical optical imaging ; Blindness ; clinical parameters ; cup-to-disc ratio (CDR) ; Diseases ; Glaucoma ; glaucoma screen ; Health services ; Medical diagnostic imaging ; Mobile App ; Mobile computing ; neuro-retinal rim (NRR) ; Optical imaging ; Parameters ; Smartphones ; Websites</subject><ispartof>IEEE access, 2018, Vol.6, p.77414-77428</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-dce301ea650f1937ec1b0e9a9396107ab81f34cb46a0067535ca4c3024d22c973</citedby><cites>FETCH-LOGICAL-c408t-dce301ea650f1937ec1b0e9a9396107ab81f34cb46a0067535ca4c3024d22c973</cites><orcidid>0000-0002-4515-6282</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8543570$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,4024,27633,27923,27924,27925,54933</link.rule.ids></links><search><creatorcontrib>Guo, Fan</creatorcontrib><creatorcontrib>Mai, Yuxiang</creatorcontrib><creatorcontrib>Zhao, Xin</creatorcontrib><creatorcontrib>Duan, Xuanchu</creatorcontrib><creatorcontrib>Fan, Zhun</creatorcontrib><creatorcontrib>Zou, Beiji</creatorcontrib><creatorcontrib>Xie, Bin</creatorcontrib><title>Yanbao: A Mobile App Using the Measurement of Clinical Parameters for Glaucoma Screening</title><title>IEEE access</title><addtitle>Access</addtitle><description>Glaucoma is the second leading cause of blindness worldwide, and vision loss from glaucoma cannot be reversed. To remedy this issue, in this paper, a user-friendly mobile App, named Yanbao, is developed. Yanbao App is expected to help users conveniently share high-quality glaucoma screening service by using the proposed glaucoma screening algorithm based on clinical parameters. To the best of our knowledge, it is the first App specially designed for screening glaucoma. The main advantages of our App are: 1) the App has been developed for smartphone, which can be conveniently used at any place and at any time; 2) experiments on both public fundus database and real clinical data demonstrate that the App has good detection and classification accuracy; and 3) users' feedback seems to be quite promising in terms of real-time testing and user experience. Thus, the App could be suitable for glaucoma screening in practice to improve the efficiency of clinicians, balance medical resources, and provide better tiered medical services. The Yanbao App can be available from the website http://url.cn/57tk9jT .</description><subject>Algorithms</subject><subject>Applications programs</subject><subject>Biomedical optical imaging</subject><subject>Blindness</subject><subject>clinical parameters</subject><subject>cup-to-disc ratio (CDR)</subject><subject>Diseases</subject><subject>Glaucoma</subject><subject>glaucoma screen</subject><subject>Health services</subject><subject>Medical diagnostic imaging</subject><subject>Mobile App</subject><subject>Mobile computing</subject><subject>neuro-retinal rim (NRR)</subject><subject>Optical imaging</subject><subject>Parameters</subject><subject>Smartphones</subject><subject>Websites</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNkU1Lw0AQhoMoKOov8LLguXW_k_VWgh-FFoUq6GmZbGZrSpqtu-nBf280RZzLDC_zvjPwZNkVo1PGqLmZleXdajXllBVTXhTcSH2UnXGmzUQooY__zafZZUobOlQxSCo_y97eoasg3JIZWYaqaZHMdjvymppuTfoPJEuEtI-4xa4nwZOybbrGQUueIcIWe4yJ-BDJQwt7F7ZAVi4idoP7Ijvx0Ca8PPTz7PX-7qV8nCyeHublbDFxkhb9pHYoKEPQinpmRI6OVRQNGGE0ozlUBfNCukpqoFTnSigH0gnKZc25M7k4z-Zjbh1gY3ex2UL8sgEa-yuEuLYQ-8a1aJUEoQG58uBlrXPQXnNTKchlLUDzIet6zNrF8LnH1NtN2MdueN9yqVRhOOV02BLjloshpYj-7yqj9oeIHYnYHyL2QGRwXY2uBhH_HIWSQuVUfAN40oWA</recordid><startdate>2018</startdate><enddate>2018</enddate><creator>Guo, Fan</creator><creator>Mai, Yuxiang</creator><creator>Zhao, Xin</creator><creator>Duan, Xuanchu</creator><creator>Fan, Zhun</creator><creator>Zou, Beiji</creator><creator>Xie, Bin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4515-6282</orcidid></search><sort><creationdate>2018</creationdate><title>Yanbao: A Mobile App Using the Measurement of Clinical Parameters for Glaucoma Screening</title><author>Guo, Fan ; Mai, Yuxiang ; Zhao, Xin ; Duan, Xuanchu ; Fan, Zhun ; Zou, Beiji ; Xie, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-dce301ea650f1937ec1b0e9a9396107ab81f34cb46a0067535ca4c3024d22c973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>Applications programs</topic><topic>Biomedical optical imaging</topic><topic>Blindness</topic><topic>clinical parameters</topic><topic>cup-to-disc ratio (CDR)</topic><topic>Diseases</topic><topic>Glaucoma</topic><topic>glaucoma screen</topic><topic>Health services</topic><topic>Medical diagnostic imaging</topic><topic>Mobile App</topic><topic>Mobile computing</topic><topic>neuro-retinal rim (NRR)</topic><topic>Optical imaging</topic><topic>Parameters</topic><topic>Smartphones</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Fan</creatorcontrib><creatorcontrib>Mai, Yuxiang</creatorcontrib><creatorcontrib>Zhao, Xin</creatorcontrib><creatorcontrib>Duan, Xuanchu</creatorcontrib><creatorcontrib>Fan, Zhun</creatorcontrib><creatorcontrib>Zou, Beiji</creatorcontrib><creatorcontrib>Xie, Bin</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Fan</au><au>Mai, Yuxiang</au><au>Zhao, Xin</au><au>Duan, Xuanchu</au><au>Fan, Zhun</au><au>Zou, Beiji</au><au>Xie, Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Yanbao: A Mobile App Using the Measurement of Clinical Parameters for Glaucoma Screening</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2018</date><risdate>2018</risdate><volume>6</volume><spage>77414</spage><epage>77428</epage><pages>77414-77428</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Glaucoma is the second leading cause of blindness worldwide, and vision loss from glaucoma cannot be reversed. To remedy this issue, in this paper, a user-friendly mobile App, named Yanbao, is developed. Yanbao App is expected to help users conveniently share high-quality glaucoma screening service by using the proposed glaucoma screening algorithm based on clinical parameters. To the best of our knowledge, it is the first App specially designed for screening glaucoma. The main advantages of our App are: 1) the App has been developed for smartphone, which can be conveniently used at any place and at any time; 2) experiments on both public fundus database and real clinical data demonstrate that the App has good detection and classification accuracy; and 3) users' feedback seems to be quite promising in terms of real-time testing and user experience. Thus, the App could be suitable for glaucoma screening in practice to improve the efficiency of clinicians, balance medical resources, and provide better tiered medical services. The Yanbao App can be available from the website http://url.cn/57tk9jT .</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2018.2882946</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4515-6282</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2169-3536 |
ispartof | IEEE access, 2018, Vol.6, p.77414-77428 |
issn | 2169-3536 2169-3536 |
language | eng |
recordid | cdi_proquest_journals_2455892020 |
source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Algorithms Applications programs Biomedical optical imaging Blindness clinical parameters cup-to-disc ratio (CDR) Diseases Glaucoma glaucoma screen Health services Medical diagnostic imaging Mobile App Mobile computing neuro-retinal rim (NRR) Optical imaging Parameters Smartphones Websites |
title | Yanbao: A Mobile App Using the Measurement of Clinical Parameters for Glaucoma Screening |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T01%3A29%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Yanbao:%20A%20Mobile%20App%20Using%20the%20Measurement%20of%20Clinical%20Parameters%20for%20Glaucoma%20Screening&rft.jtitle=IEEE%20access&rft.au=Guo,%20Fan&rft.date=2018&rft.volume=6&rft.spage=77414&rft.epage=77428&rft.pages=77414-77428&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2018.2882946&rft_dat=%3Cproquest_ieee_%3E2455892020%3C/proquest_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2455892020&rft_id=info:pmid/&rft_ieee_id=8543570&rft_doaj_id=oai_doaj_org_article_54a36ae25faf4d67a6f629b5a74d3a62&rfr_iscdi=true |