ERBB2 and cancer: Hossain et al. (2019) selected untruncated and non-overlapping singular nuclei from cancer regions using color unmixing and machine learning techniques, then detected and counted HER2 and chromosome enumeration probe 17 (CEP17) signals based on RGB intensity per nucleus. Similarly, Höfener et al. (2019) proposed a novel density-based approach to quantify FISH signals, which quantifies signals through the integral over a density map predicted by deep learning instead of detecting individual signals.