Computational method for unsupervised segmentation of lymphoma histological images based on fuzzy 3-partition entropy and genetic algorithm

作者：

Highlights：

• A segmentation method of lymphoma histological images is proposed.

• A public image dataset was used for the method evaluation.

• The proposed method is based on genetic algorithm and fuzzy 3-partition entropy.

• Neoplastic cells of different lymphomas were successfully identified.

• In comparison with other methods, this has reached the best results.

摘要

•A segmentation method of lymphoma histological images is proposed.•A public image dataset was used for the method evaluation.•The proposed method is based on genetic algorithm and fuzzy 3-partition entropy.•Neoplastic cells of different lymphomas were successfully identified.•In comparison with other methods, this has reached the best results.

论文关键词：Nuclear segmentation,Histological images,Lymphoma,Fuzzy 3-partition,Genetic algorithm,Valley-emphasis

论文评审过程：Received 18 September 2016, Revised 28 January 2017, Accepted 23 March 2017, Available online 23 March 2017, Version of Record 31 March 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.051