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

Author:

Azevedo Tosta Thaína A.,Faria Paulo Rogério,Alves Neves Leandro,Nascimento Marcelo Zanchetta do

Funder

CAPES

FAPEMIG

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference83 articles.

1. ACS (2017). What are the key statistics about non-Hodgkin lymphoma? Online. Accessed 01.22.2017.

2. Computer assisted grading schema for follicular lymphoma based on level set formulation;Arora,2013

3. Bayraktar, Z. (2013). The wind driven optimization (wdo) algorithm. Online. Accessed 12.21.2016 http://www.mathworks.com/matlabcentral/fileexchange/44865-the-wind-driven-optimization–wdo–algorithm.

4. Wind driven optimization (wdo): A novel nature-inspired optimization algorithm and its application to electromagnetics;Bayraktar,2010

5. Segmentation of follicular regions on h&e slides using a matching filter and active contour model;Belkacem-Boussaid,2010

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