What Are Some Applications of Machine Learning in Histology?
1. Cancer Detection and Grading: ML algorithms can be used to detect cancerous cells and grade tumors based on histological features. This is particularly useful in breast cancer and prostate cancer diagnosis. 2. Quantitative Analysis: ML can quantify various histological parameters, such as cell density and tissue architecture, providing objective metrics for research and diagnosis. 3. Image Segmentation: Segmenting different tissue components, such as separating epithelial cells from stroma, can be efficiently performed using ML techniques.
