Advanced soft computing diagnosis method for tumour grading

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摘要

ObjectiveTo develop an advanced diagnostic method for urinary bladder tumour grading. A novel soft computing modelling methodology based on the augmentation of fuzzy cognitive maps (FCMs) with the unsupervised active Hebbian learning (AHL) algorithm is applied.

论文关键词：Soft computing,Fuzzy cognitive maps,Grading urinary bladder tumours,Active Hebbian learning algorithm

论文评审过程：Received 20 November 2003, Revised 9 March 2005, Accepted 22 April 2005, Available online 10 August 2005.

论文官网地址：https://doi.org/10.1016/j.artmed.2005.04.001