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Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients.

Qi WanXiang RenRan WeiShali YueLixiang WangHongbo YinJing TangMing ZhangKe MaYing-Ping Deng
Published in: Biological procedures online (2023)
Our findings suggest that DL model can accurately predict vital status in UM patents just using histopathological images. We found out two subgroups based on histopathological DL features, which may in favor of immunotherapy and chemotherapy. Finally, a well-performing nomogram that combines DL-signature and gene-signature was constructed to give a more straightforward and reliable prognosis for UM patients in treatment and management.
Keyphrases
  • deep learning
  • end stage renal disease
  • ejection fraction
  • artificial intelligence
  • transcription factor
  • convolutional neural network
  • locally advanced
  • wastewater treatment
  • lymph node metastasis
  • combination therapy