Enhancing mosquito classification through self-supervised learning

Abstract Traditional mosquito identification methods, relied on microscopic observation and morphological characteristics, often require significant expertise and experience, which can limit their effectiveness. This study introduces a self-supervised learning-based image classification model using...

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Detaylı Bibliyografya
Asıl Yazarlar:	Ratana Charoenpanyakul, Veerayuth Kittichai, Songpol Eiamsamang, Patchara Sriwichai, Natchapon Pinetsuksai, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Nature Portfolio 2024-11-01
Seri Bilgileri:	Scientific Reports
Konular:	Mosquito vectors Self-supervised learning Self-distillation with unlabeled data Mobile phone application
Online Erişim:	https://doi.org/10.1038/s41598-024-78260-2
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Enhancing mosquito classification through self-supervised learning

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