In conclusion, the trained and publicly available CNN model presented by Kostyszyn et al. (18) yields fairly accurate contouring of intraprostatic cancer lesions on 68Ga-PSMA PET images that could be used as a starting point for quantitative analysis using radiomics or deep learning approaches. This evidence concerns the gene FOLH1 and cancer.