Hybrid intelligent approach for diagnosis of the lung nodule from CT images using spatial kernelized fuzzy c-means and ensemble learning
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Publication:1997103
DOI10.1016/J.MATCOM.2018.02.001OpenAlexW2790914505MaRDI QIDQ1997103
Mohammad Hossein Fazel Zarandi, Abbas Ahmadi, Farzad Vasheghani Farahani
Publication date: 1 March 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2018.02.001
Statistics (62-XX) Artificial intelligence (68Txx) Multivariate analysis (62Hxx) Computer science (68-XX)
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Cites Work
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- Multilayer feedforward networks are universal approximators
- Simulation-based optimization of radiotherapy: agent-based modeling and reinforcement learning
- Numerical methods for fuzzy clustering
- Combining Pattern Classifiers
- A new approach to clustering
- Decision templates for multiple classifier fusion: An experimental comparison
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
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