بدائل البحث:
robust classification » forest classification (توسيع البحث), risk classification (توسيع البحث), group classification (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary b » binary _ (توسيع البحث)
b wolf » _ wolf (توسيع البحث), a wolf (توسيع البحث)
robust classification » forest classification (توسيع البحث), risk classification (توسيع البحث), group classification (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary b » binary _ (توسيع البحث)
b wolf » _ wolf (توسيع البحث), a wolf (توسيع البحث)
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Result comparison with other existing models.
منشور في 2025"…The main objective of this research is to harness the noble strategies of artificial intelligence for identifying and classifying lung cancers more precisely from CT scan images at the early stage. This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer. …"
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Dataset distribution.
منشور في 2025"…The main objective of this research is to harness the noble strategies of artificial intelligence for identifying and classifying lung cancers more precisely from CT scan images at the early stage. This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer. …"
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CNN structure for feature extraction.
منشور في 2025"…The main objective of this research is to harness the noble strategies of artificial intelligence for identifying and classifying lung cancers more precisely from CT scan images at the early stage. This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer. …"
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