Emulating Visual Evaluations in the Microscopic Agglutination Test with Deep Learning
R. Nakano, Y. Oyamada, R. Ozuru, S. Miyahara, M. Yoshimura, K. 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.
bioRxiv · Apr 9, 2024Microbiology