Next, we wanted to determine whether our algorithm, which was trained from a small training dataset of 14 representative tissue regions (each 500 μm × 500 μm), was able to identify correct overall core histology (i.e., tumour versus normal epithelium) and MLH1 status (i.e., absent versus present) within the TMA. Here, MLH1 is linked to neoplasm.