What are Some Key Applications of Machine Learning in Histology?
Machine learning has found numerous applications in histology, including:
1. Cancer Detection and Classification: ML algorithms can accurately identify cancerous tissues and classify different types of tumors based on histological features. 2. Quantification of Histological Features: Automated quantification of cell counts, tissue areas, and other histological features improves the precision of research studies and clinical diagnostics. 3. Predictive Modeling: ML models can predict patient outcomes, such as survival rates or response to treatment, based on histological data. 4. Digital Pathology: The use of ML in digital pathology facilitates the analysis of whole-slide images, enabling remote consultation and collaborative research.
