What are Some Successful Applications of AutoML Vision in Histology?
There have been several successful applications of AutoML Vision in histology:
Cancer Detection: AutoML Vision has been used to develop models that can accurately detect and classify cancerous cells in tissue samples, aiding in early diagnosis and treatment planning. Quantification of Biomarkers: Automated models can quantify the expression of various biomarkers in tissue sections, providing valuable information for prognosis and treatment decisions. Digital Pathology: Integration of AutoML Vision into digital pathology platforms allows for the automated analysis of whole-slide images, improving workflow efficiency and diagnostic accuracy.
