Between Linguistics, Language Education and Acquisition Research. Introduction to the Special Issue Linguistics for Language Teaching and Learning

Abstract

This paper deals with chromosome classification via convolutional neural networks and model ensembling. Chromosome classification is a part of a procedure in karyotyping, where the chromosomes should be paired and ordered so that they are prepared for inspection of abnormalities. Model ensembling was used as a technique to improve overall classification accuracy by using all of the trained models. We achieved 94.8 % accuracy for a Q-band BioImlab dataset and 97.48 % for a G-band chromosome CIR dataset.