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Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma.

Yeoun-Eun SungMin-Sik KimYoun Soo Lee
Published in: Head & neck (2021)
We report our work on a possible descriptive model that can predict prognosis based on pathological and imaging findings regardless of the TNM stage.
Keyphrases
  • high resolution
  • deep learning
  • convolutional neural network
  • cross sectional
  • machine learning
  • mass spectrometry
  • breast cancer risk