بدائل البحث:
codon optimization » wolf optimization (توسيع البحث)
robust detection » object detection (توسيع البحث), point detection (توسيع البحث), first detection (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
based codon » based color (توسيع البحث), based cohort (توسيع البحث), based action (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
robust detection » object detection (توسيع البحث), point detection (توسيع البحث), first detection (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
based codon » based color (توسيع البحث), based cohort (توسيع البحث), based action (توسيع البحث)
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Result comparison with other existing models.
منشور في 2025"…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"…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"…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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Enhancing digital pathology workflows: computational blur detection for H&E image quality control in preclinical toxicology
منشور في 2025"…To address this, we have integrated a pair of productionalized computational models – ‘MiQC’ (Microscopic Quality Control) – into our routine image QC workflows. MiQC combines Local Binary Patterns (LBP) and DeepFocus-based deep learning algorithms to detect and quantify out-of-focus regions in WSIs. …"
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