Big data in histology refers to the vast amount of complex and diverse data generated from histological studies. This includes high-resolution images of tissues, genetic and molecular information, and other biological data. The aim is to leverage computational tools to analyze and interpret this data for better understanding of tissue architecture and function, which can drive advancements in diagnosis, treatment, and research.
