Login / Signup

Prostate Cancer Risk Stratification by Digital Histopathology and Deep Learning.

Yanan ShaoRoozbeh BazarganiDavood KarimiJane WangLadan FazliS Larry GoldenbergMartin E GleavePeter C BlackAli BashashatiSeptimiu Salcudean
Published in: JCO clinical cancer informatics (2024)
These findings highlight the importance of ML as an objective tool for histopathology image assessment and patient risk stratification. With further validation on large cohorts, the digital pathology risk classification we propose may be helpful in guiding administration of adjuvant therapy including radiotherapy after RP.
Keyphrases
  • deep learning
  • prostate cancer
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • radical prostatectomy
  • early stage
  • case report
  • radiation therapy
  • locally advanced
  • squamous cell carcinoma