Efficient phenotypic sex classification of zebrafish using machine learning methods

Efficient phenotypic sex classification of zebrafish using machine learning methods

Abstract Sex determination in zebrafish by manual approaches according to current guidelines relies on human observation. These guidelines for sex recognition have proven to be subjective and highly labor‐intensive. To address this problem, we present a methodology to automatically classify the phen...

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Bibliographic Details
Main Authors: Shahrbanou Hosseini, Henner Simianer, Jens Tetens, Bertram Brenig, Sebastian Herzog, Ahmad Reza Sharifi
Format: Article
Language:English
Published: Wiley 2019-12-01
Series:Ecology and Evolution
Subjects:
color
machine learning
sex classification
temperature
zebrafish
Online Access:https://doi.org/10.1002/ece3.5788

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