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Optimizing deep learning models for glaucoma screening with vision transformers for resource efficiency and the pie augmentation method.

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Title: Optimizing deep learning models for glaucoma screening with vision transformers for resource efficiency and the pie augmentation method.
Authors: Sangchocanonta, Sirikorn1 (AUTHOR), Pooprasert, Pakinee1 (AUTHOR), Lerthirunvibul, Nichapa1 (AUTHOR), Patchimnan, Kanyarak1 (AUTHOR), Phienphanich, Phongphan1 (AUTHOR), Munthuli, Adirek2 (AUTHOR), Puangarom, Sujittra1 (AUTHOR), Itthipanichpong, Rath2,3 (AUTHOR) rath.i@chula.ac.th, Ratanawongphaibul, Kitiya2,3 (AUTHOR), Chansangpetch, Sunee2,3 (AUTHOR), Manassakorn, Anita2,3 (AUTHOR), Tantisevi, Visanee2,3 (AUTHOR), Rojanapongpun, Prin2,3 (AUTHOR), Tantibundhit, Charturong1 (AUTHOR)
Source: PLoS ONE. 3/21/2025, Vol. 20 Issue 3, p1-28. 28p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 3/21/2025, Vol. 20 Issue 3, p1-28. 28p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=183954676
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        Value: 10.1371/journal.pone.0314111
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        Text: English
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              Text: 3/21/2025
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