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A Novel Feature Engineering Method Based on Latent Representation Learning for Radiomics: Application in NSCLC Subtype Classification.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS(2024)

Cited 5|Views33
Key words
Latent representation learning,radiomics,feature engineering,NSCLC subtype classification
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