Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia.
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| Title: | Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia. |
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| Authors: | Lim WS; Department of Computer Science and Information Engineering, National Taiwan University, Taipei City 10617, Taiwan, ROC., Ho HY; School of Medicine, National Taiwan University, Taipei City 10617, Taiwan, ROC., Ho HC; School of Medicine, National Taiwan University, Taipei City 10617, Taiwan, ROC., Chen YW; Department of Applied Mathematics, National Sun Yat-Sen University, Kaohsiung City 804201, Taiwan, ROC., Lee CK; Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu City 300, Taiwan, ROC., Chen PJ; Department of Ophthalmology, National Taiwan University Hospital Hsin-Chu Branch, No. 25, Lane 442, Sec.1, Jingguo Rd., Hsinchu City 300, Taiwan, ROC., Lai F; Department of Electrical Engineering, National Taiwan University, Taipei City 10617, Taiwan, ROC., Jang JR; Department of Computer Science and Information Engineering, National Taiwan University, Taipei City 10617, Taiwan, ROC., Ko ML; Department of Ophthalmology, National Taiwan University Hospital Hsin-Chu Branch, No. 25, Lane 442, Sec.1, Jingguo Rd., Hsinchu City 300, Taiwan, ROC. aaddch@gmail.com.; Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Taipei City 10617, Taiwan, ROC. aaddch@gmail.com. |
| Source: | BMC medical imaging [BMC Med Imaging] 2022 Nov 24; Vol. 22 (1), pp. 206. Date of Electronic Publication: 2022 Nov 24. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2342 |
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| DOI: | 10.1186/s12880-022-00933-z |
