Abalone Computer Vision Paper Published in Frontiers in AI
May 21, 2026·
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1 min read
Edwin Solares
Our paper “Deep Learning Classification of Reproductive Tissue from Ultrasound: Sex Determination in Red Abalone” has been published in Frontiers in Artificial Intelligence.
This work demonstrates that convolutional neural networks can reliably classify biological reproductive tissue from ultrasound imagery, providing a non-invasive approach to sex determination in aquaculture species. The methodology reduces stress on animals and operational costs for producers.
Citation: Solares E et al. (2026) “Deep Learning Classification of Reproductive Tissue from Ultrasound: Sex Determination in Red Abalone.” Frontiers in AI 9:1794183. DOI: 10.3389/FRAI.2026.1794183
Authors
Edwin Solares
(he/him)
Executive Director, ESB AI Lab Corporation
Executive Director of ESB AI Lab Corporation, a 501(c)(3) nonprofit advancing
research in AI, machine learning, computer vision, and genomics. Previously a
Lecturer at UC San Diego. My research harnesses AI and bioinformatics for food
security and species conservation. Published in Nature Plants, PNAS, Genome
Research, and G3 (h-index: 7).