Search alternatives:
processing selection » process reflection (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
data processing » image processing (Expand Search)
primary data » primary care (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
processing selection » process reflection (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
data processing » image processing (Expand Search)
primary data » primary care (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
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Features selected by optimization algorithms.
Published 2024“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”
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Hybrid feature selection algorithm of CSCO-ROA.
Published 2024“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”
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Construction process of RF.
Published 2025“…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”
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MLP vs classification algorithms.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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