Enhancing mosquito classification through self-supervised learning

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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Main Authors: Ratana Charoenpanyakul, Veerayuth Kittichai, Songpol Eiamsamang, Patchara Sriwichai, Natchapon Pinetsuksai, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Mosquito vectors
Self-supervised learning
Self-distillation with unlabeled data
Mobile phone application
Online Access:https://doi.org/10.1038/s41598-024-78260-2
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https://doi.org/10.1038/s41598-024-78260-2

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