Emulating Visual Evaluations in the Microscopic Agglutination Test with Deep Learning
Risa Nakano, Yuji Oyamada, Ryo Ozuru, Satoshi Miyahara, Michinobu Yoshimura, Kenji Hiromatsu
This paper develops a deep learning model to estimate agglutination rates in the Microscopic Agglutination Test (MAT) for leptospirosis, achieving accurate results and improving model interpretability.
Journal of Microbiological Methods · Apr 9, 2024Peer-reviewedMicrobiology