Fish oocyte morphology detection using neural networks: a comparison of YOLO architectures

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Yanna Leidy Ketley Fernandes Cruz, Ewaldo Eder Carvalho Santana, Isa Rosete Araujo Nascimento, Antonio Fhillipi Maciel Silva, Raimunda Nonata Fortes Carvalho Neta, José Ribamar de Souza Torres-Junior
Format: Article
Language:English
Published: Universidade Federal do Ceará 2025-01-01
Series:Revista Ciência Agronômica
Subjects:
Maturational phases
Histological images
Artificial intelligence
Convolutional Neural Networks
Centropomus undecimalis
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902025000100638&lng=en&tlng=en
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items