Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble ct machine learning algorithm

HIGHLIGHTS

• who: Quan-Hao He and collaborators from the Universitat Autu00f2noma de Barcelona, Spain George Emil Palade University of have published the article: Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm, in the Journal: (JOURNAL)
• what: The authors aim to develop and validate a stacking ensemble-based machine_learning model using deep learning and radiomics features to stratify malignant cystic renal neoplasm more precisely. DeLong tests are used to evaluate whether the statistical significance of area under the ROC curve (AUC . . .
  

   

  

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