Morphologic and quantitative imagine biomarkers able to reliably and noninvasively determine the different histopathological growth patterns (HGP) of colorectal cancer liver metastases (CRCLM) are currently missing. We aimed to evaluate if a bi-compartmental model (tumour border region, in addition to an inner core region) can outperform the traditional mono-compartmental model for HGP subtype prediction. Our results show an improvement in HGP subtype classification when using the bi-compartmental tumour model, likely because the information arising from the borders are separate from those pertaining to the inner core. As reported, the main differences for HGP tend to occur at the tumour-liver parenchyma interface. This would allow accurate and potentially more effective patient treatment stratification, since the different HGP subtypes have reported variable response rates to anti VEGF-A therapy.