Fish oocyte morphology detection using neural networks: a comparison of YOLO architectures
ABSTRACT The recognition of oocytes, in their maturational stages, allow estimate the ovarian development and the type of spawning of a species. Although, distinguishing oocytes on histological images requires a visual and subjective interpretation by the specialist. With the development of deep lea...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal do Ceará
2025-01-01
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| Series: | Revista Ciência Agronômica |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902025000100638&lng=en&tlng=en |
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