2 results match your criteria: "Department of Animal Sciences University of Goettingen Goettingen Germany.[Affiliation]"
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 phenotypic sex using two machine learning methods: Deep Convolutional Neural Networks (DCNNs) based on the whole fish appearance and Support Vector Machine (SVM) based on caudal fin coloration.
View Article and Find Full Text PDFPalaeontology
September 2018
The School of Biosciences The University of Nottingham Sutton Bonington Campus, Sutton Bonington Leicestershire LE12 5RD UK.