Automating tumor-infiltrating lymphocyte assessment in breast cancer histopathology images using QuPath: a transparent and accessible machine learning pipeline

Documenti analoghi

• Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
  di: Tafavvoghi, Masoud, et al.
  Pubblicazione: (2024)
• A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images
  di: Shvetsov, Nikita, et al.
  Pubblicazione: (2025)
• Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer
  di: Shvetsov, Nikita, et al.
  Pubblicazione: (2024)
• Open-source framework for detecting bias and overfitting for large pathology images
  di: Sildnes, Anders, et al.
  Pubblicazione: (2025)
• Curvilinear incidence models for parity in the entire fertility range for cancers of the breast, ovary, and endometrium: A follow‐up of the Norwegian 1960 Census
  di: Eiliv Lund, et al.
  Pubblicazione: (2025)