Deep learning approaches for challenging species and gender identification of mosquito vectors

• Main Authors: Veerayuth Kittichai, Theerakamol Pengsakul, Kemmapon Chumchuen, Yudthana Samung, Patchara Sriwichai, Natthaphop Phatthamolrat, Teerawat Tongloy, Komgrit Jaksukam, Santhad Chuwongin, Siridech Boonsang
• Other Authors: King Mongkut's Institute of Technology Ladkrabang
• Format: Article
• Published: 2022
• Subjects: Multidisciplinary
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/79264
• Institution: Mahidol University

Microscopic observation of mosquito species, which is the basis of morphological identification, is a time-consuming and challenging process, particularly owing to the different skills and experience of public health personnel. We present deep learning models based on the well-known you-only-look-on...