MKI67 and neoplasm: In a related line of research, deep learning has also enabled the prediction of biomarker status (e.g., Ki-67 [16] and β-amyloid [17]) and tumor prognostic from H&E-stained microphotographs of various lesions including hepatocellular carcinoma [18], breast cancer [19–23], bladder cancer [24], thyroid cancer [25, 26], melanoma [27], and neuropathologic diseases [17].