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基于自动乳腺全容积成像(ABVS)影像组学的机器学习模型鉴别BI-RADS 4类病灶良恶性的临床价���

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zhangpeihao/ABVS_BI-RADS4_ML_Classifier

 
 

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ABVS_BI-RADS4_ML_Classifier

Codes for paper: Machine learning based on automated breast volumescanner (ABVS) radiomics for differential diagnosisof benign and malignant BI-RADS 4 lesions. https://doi.org/10.1002/ima.22724

Dependecies:

  • scikit-learn == 1.0.2
  • eli5 == 0.11.0
  • statsmodels == 0.12.2
  • umap == 0.1.1
  • tensorflow == 2.6.0
  • seaborn == 0.11.1
  • matplotlib == 3.5.1
  • minepy = 1.2.5
  • pymrmr = 0.1.11
  • keras == 2.6.0

How to use:

Run main_paper2_V5-2.ipynb to get merely all results for the paper.

Run main_paper2_V5_Supplement.ipynb to get additional results for the paper.

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基于自动乳腺全容积成像(ABVS)影像组学的机器学习模型鉴别BI-RADS 4类病灶良恶性的临床价值

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