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ARMO: automated and reliable multi-objective model for lymph node metastasis prediction in head & neck cancer.

Zhiguo ZhouLiyuan ChenMichael J DohopolskiDavid SherJing Wang
Published in: Physics in medicine and biology (2023)
In this study, we developed a unified model that can achieve balanced prediction, confidence calibration and uncertainty estimation simultaneously. The experimental results demonstrated that ARMO can obtain accurate and reliable prediction performance.
Keyphrases
  • lymph node metastasis
  • papillary thyroid
  • squamous cell carcinoma
  • machine learning
  • squamous cell
  • high throughput
  • single cell
  • mass spectrometry