Strabismus Detection in Monocular Eye Images for Telemedicine Applications
This study presents a novel method for the early detection of strabismus, a common eye misalignment disorder, with an emphasis on its application in telemedicine. The technique leverages synchronized eye movements to estimate the pupil location of one eye based on the other, achieving close alignmen...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/10/11/284 |
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| _version_ | 1846153292648808448 |
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| author | Wattanapong Kurdthongmee Lunla Udomvej Arsanchai Sukkuea Piyadhida Kurdthongmee Chitchanok Sangeamwong Chayanid Chanakarn |
| author_facet | Wattanapong Kurdthongmee Lunla Udomvej Arsanchai Sukkuea Piyadhida Kurdthongmee Chitchanok Sangeamwong Chayanid Chanakarn |
| author_sort | Wattanapong Kurdthongmee |
| collection | DOAJ |
| description | This study presents a novel method for the early detection of strabismus, a common eye misalignment disorder, with an emphasis on its application in telemedicine. The technique leverages synchronized eye movements to estimate the pupil location of one eye based on the other, achieving close alignment in non-strabismic cases. Regression models for each eye are developed using advanced machine learning algorithms, and significant discrepancies between estimated and actual pupil positions indicate the presence of strabismus. This approach provides a non-invasive, efficient solution for early detection and bridges the gap between basic research and clinical care by offering an accessible, machine learning-based tool that facilitates timely intervention and improved outcomes in diverse healthcare settings. The potential for pediatric screening is discussed as a possible direction for future research. |
| format | Article |
| id | doaj-art-8286c688e78d47c09d88b98dfbab039b |
| institution | Kabale University |
| issn | 2313-433X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj-art-8286c688e78d47c09d88b98dfbab039b2024-11-26T18:07:42ZengMDPI AGJournal of Imaging2313-433X2024-11-01101128410.3390/jimaging10110284Strabismus Detection in Monocular Eye Images for Telemedicine ApplicationsWattanapong Kurdthongmee0Lunla Udomvej1Arsanchai Sukkuea2Piyadhida Kurdthongmee3Chitchanok Sangeamwong4Chayanid Chanakarn5School of Engineering and Technology, Walailak University, Thai Buri, Thasala, Nakornsithammarat 80160, ThailandSchool of Medicine, Walailak University, Thai Buri, Thasala, Nakornsithammarat 80160, ThailandSchool of Engineering and Technology, Walailak University, Thai Buri, Thasala, Nakornsithammarat 80160, ThailandThe Center for Scientific and Technological Equipment, Walailak University, Thai Buri Thasala, Nakornsithammarat 80160, ThailandSchool of Engineering and Technology, Walailak University, Thai Buri, Thasala, Nakornsithammarat 80160, ThailandSchool of Engineering and Technology, Walailak University, Thai Buri, Thasala, Nakornsithammarat 80160, ThailandThis study presents a novel method for the early detection of strabismus, a common eye misalignment disorder, with an emphasis on its application in telemedicine. The technique leverages synchronized eye movements to estimate the pupil location of one eye based on the other, achieving close alignment in non-strabismic cases. Regression models for each eye are developed using advanced machine learning algorithms, and significant discrepancies between estimated and actual pupil positions indicate the presence of strabismus. This approach provides a non-invasive, efficient solution for early detection and bridges the gap between basic research and clinical care by offering an accessible, machine learning-based tool that facilitates timely intervention and improved outcomes in diverse healthcare settings. The potential for pediatric screening is discussed as a possible direction for future research.https://www.mdpi.com/2313-433X/10/11/284strabismusocular misalignmentearly detectiontelemedicinescreening |
| spellingShingle | Wattanapong Kurdthongmee Lunla Udomvej Arsanchai Sukkuea Piyadhida Kurdthongmee Chitchanok Sangeamwong Chayanid Chanakarn Strabismus Detection in Monocular Eye Images for Telemedicine Applications Journal of Imaging strabismus ocular misalignment early detection telemedicine screening |
| title | Strabismus Detection in Monocular Eye Images for Telemedicine Applications |
| title_full | Strabismus Detection in Monocular Eye Images for Telemedicine Applications |
| title_fullStr | Strabismus Detection in Monocular Eye Images for Telemedicine Applications |
| title_full_unstemmed | Strabismus Detection in Monocular Eye Images for Telemedicine Applications |
| title_short | Strabismus Detection in Monocular Eye Images for Telemedicine Applications |
| title_sort | strabismus detection in monocular eye images for telemedicine applications |
| topic | strabismus ocular misalignment early detection telemedicine screening |
| url | https://www.mdpi.com/2313-433X/10/11/284 |
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