Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesions

HIGHLIGHTS

• who: Quan-Hao He from the (UNIVERSITY) have published the Article: Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesions, in the Journal: (JOURNAL)
• what: The aim of this research is to develop and validate a blending ensemble machine_learning algorithm for stratifying malignant and benign CRLs with the combination of deep learning and radiomic features. To ensure the reliability of the model performance, all enrolled CRLs in this study have post-operative pathological results.
• how: After that a blending ensemble machine learning model were developed . . .
  

   

  

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