Research Article
[Retracted] Feature Importance Score-Based Functional Link Artificial Neural Networks for Breast Cancer Classification
Table 1
Research work available in literature for the classification of breast cancer using artificial intelligence (AI).
| | Study | Year | Algorithm | Accuracy |
| | Pene-Rayes and Sipper [1] | 1999 | Fuzzy-GA | 97.36% | | Abbass [2] | 2002 | MPANN | 98.1% | | Guo and Nandi [10] | 2006 | MLP | 97.89% | | Übeyli, E.D. [11] | 2007 | PNN (probabilistic neural network) | 98.15% | | Subashini et al. [12] | 2009 | RBFNN | 96.57% | | Fatima and Amine [6] | 2012 | Hybrid neuro-fuzzy | 98.25% | | Manning and Walsh [7] | 2013 | CGPANN | 96% | | Zeng et al. [13] | 2014 | SVM-KNN | 97.38% | | Banerjee et al. [14] | 2017 | Ensemble | 95.6% | | Amrane et al. [15] | 2018 | KNN | 97.51% | | Alwidian et al. [16] | 2018 | WCBA | 97.74% | | Bayrak et al. [17] | 2019 | ANN | 95.42% |
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