Enhance fashion classification of mosquito vector species via self-supervised vision transformer

Enhance fashion classification of mosquito vector species via self-supervised vision transformer

Abstract Vector-borne diseases pose a major worldwide health concern, impacting more than 1 billion people globally. Among various blood-feeding arthropods, mosquitoes stand out as the primary carriers of diseases significant in both medical and veterinary fields. Hence, comprehending their distinct...

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Main Authors: Veerayuth Kittichai, Morakot Kaewthamasorn, Tanawat Chaiphongpachara, Sedthapong Laojun, Tawee Saiwichai, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Mosquito vector species
Artificial intelligence
Self-distillation with unlabeled data
Mobile phone application
Online Access:https://doi.org/10.1038/s41598-024-83358-8
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https://doi.org/10.1038/s41598-024-83358-8

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