Machine Learning-based phenotype classification of zebrafish embryos enables fast and reproducible assessments for toxicity evaluation. However, acquiring large amounts of labeled data can be expensive, time-consuming and requires biological expertise. Based on the publicly available EmbryoNet dataset, we explore the impact that less available labeled data has on the performance of machine...
Zebrafish embryos are frequently used as an experimental model in the assessment of toxic effects. They are considered as alternatives to animal testing, since early life stages are not considered as “protected” stages by recent European regulations on animal welfare. An important read-out in effect assessment of chemicals in the zebrafish embryo is the assessment of morphological alterations....
