Photo from wikipedia
Deep learning utilizing convolutional neural networks (CNNs) applied to hematoxylin & eosin (H&E)‐stained slides numerically encodes histomorphological tumor features. Tumor heterogeneity is an emerging biomarker in colon cancer that is,… Click to show full abstract
Deep learning utilizing convolutional neural networks (CNNs) applied to hematoxylin & eosin (H&E)‐stained slides numerically encodes histomorphological tumor features. Tumor heterogeneity is an emerging biomarker in colon cancer that is, captured by these features, whereas microsatellite instability (MSI) is an established biomarker traditionally assessed by immunohistochemistry or polymerase chain reaction.
Keywords:
tumor heterogeneity;
colon cancer;
microsatellite instability;
deep learning
Journal Title: Journal of Surgical Oncology
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Journal of Surgical Oncology
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!