A new modular neural network approach with fuzzy response integration for lung disease classification based on multiple objective feature optimization in chest X-ray images

作者：

Highlights：

• Modular Neural Networks with fuzzy integration for diagnosing pulmonary diseases.

• Multiobjective Genetic optimization a neuro-fuzzy classifier of medical images.

• The neuro-fuzzy model approach achieves high classification accuracy after evaluating.

• Modular Neural Network for a specialized analysis in digital image analysis and classification.

摘要

•Modular Neural Networks with fuzzy integration for diagnosing pulmonary diseases.•Multiobjective Genetic optimization a neuro-fuzzy classifier of medical images.•The neuro-fuzzy model approach achieves high classification accuracy after evaluating.•Modular Neural Network for a specialized analysis in digital image analysis and classification.

论文关键词：Modular neural networks,Image features,Hybrid intelligent systems,Lung diseases,Image classification

论文评审过程：Received 31 December 2019, Revised 21 November 2020, Accepted 21 November 2020, Available online 1 December 2020, Version of Record 8 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114361