Deep learning based tumor-stroma ratio scoring in colon cancer correlates with microscopic assessment

• Hlavní autoři: Marloes A. Smit (Autor), Francesco Ciompi (Autor), John-Melle Bokhorst (Autor), Gabi W. van Pelt (Autor), Oscar G.F. Geessink (Autor), Hein Putter (Autor), Rob A.E.M. Tollenaar (Autor), J. Han J.M. van Krieken (Autor), Wilma E. Mesker (Autor), Jeroen A.W.M. van der Laak (Autor)
• Médium: Kniha
• Vydáno: Elsevier, 2023-01-01T00:00:00Z.
• Témata: article
• On-line přístup: Connect to this object online.

Background: The amount of stroma within the primary tumor is a prognostic parameter for colon cancer patients. This phenomenon can be assessed using the tumor-stroma ratio (TSR), which classifies tumors in stroma-low (≤50% stroma) and stroma-high (>50% stroma). Although the reproducibility for TS...