AutoML Vision refers to the use of automated machine learning techniques to design and optimize computer vision models. These models are capable of analyzing and interpreting visual data, such as images and videos, without requiring extensive expertise in machine learning or programming. In the context of histology, AutoML Vision can be used to assist in the analysis of histological slides, potentially improving diagnostic accuracy and efficiency.
