In histopathology, where tissues are studied under the microscope to understand and diagnose diseases, stains represent a quintessential tool. Simply put, stains are carefully selected or crafted chemicals that adhere to specific cellular components. When viewed under a microscope, they help the user distinguish cell structures more easily by altering the observed colors.
Color-adjusting technique for histopathology image datasets could help empower machine-learning-based diagnostic tools
