Image-aware mixture of experts automates the detection of ovarian follicle rupture in a high-throughput ex vivo ovulation assay
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Abstract
An AI-based dynamic, image-aware Mixture-of-Experts (MoE) framework automates ex vivo ovulation detection and offers a highly accurate, scalable solution for studying the biology of ovulation, drug development, and reproductive toxicity testing.
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Authors: Mahdi Babaei, Jiyang Zhang, Shuo Xiao, Yu Gan
Institutions: University of Maryland, College Park, Rutgers, The State University of New Jersey, Stevens Institute of Technology, Environmental and Occupational Health Sciences Institute