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Deep learning-based prediction of treatment prognosis from nasal polyp histology slides.

Kanghua WangYong RenLing MaYunping FanZheng YangQintai YangJianbo ShiYue-Qi Sun
Published in: International forum of allergy & rhinology (2022)
Our deep learning model is an effective method for decoding pathological images of nasal polyps, providing a valuable solution for disease prognosis prediction and precise patient treatment.
Keyphrases
  • deep learning
  • convolutional neural network
  • chronic rhinosinusitis
  • artificial intelligence
  • machine learning
  • case report
  • combination therapy