Towards an autonomous human chromosome classification system using Competitive Support Vector Machines Teams (CSVMT)

作者：

Highlights：

• A novel approach for chromosome classification problem is proposed.

• A competitive cluster Support Vector Machines is hybridized with pattern search.

• The classifier provides highly reliable results outperforming the other methods.

• It also demonstrates a robust performance over 30 independent trials.

摘要

•A novel approach for chromosome classification problem is proposed.•A competitive cluster Support Vector Machines is hybridized with pattern search.•The classifier provides highly reliable results outperforming the other methods.•It also demonstrates a robust performance over 30 independent trials.

论文关键词：Support Vector Machines,Karyotyping,Chromosome classification,Committee machines

论文评审过程：Received 27 October 2016, Revised 12 May 2017, Accepted 27 May 2017, Available online 29 May 2017, Version of Record 30 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.070