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Multimodal Machine Learning-Based Ductal Carcinoma in situ Prediction from Breast Fibromatosis.

Yan JiangYuanyuan PengYingyi WuQing SunTebo Hua
Published in: Cancer management and research (2024)
The combined model by integrating clinical-ultrasound factors and radiomics features performed well in predicting DCIS, which might promote prompt interventions to improve the early diagnosis and prognosis of the patients.
Keyphrases
  • machine learning
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • artificial intelligence
  • computed tomography
  • pain management
  • deep learning