Letter to the Editor: Potential pitfalls in deep learning-based imaging for spontaneous intracerebral hemorrhage

Table 1 Proposed enhancements for deep learning models in hematoma enlargement, perihematomal edema, and hospital mortality prediction

Dimension	Current metric[1]	Proposed enhancement	Clinical/methodological rationale
ICH heterogeneity range	50-400 HU	25-90 HU	Precise detection of ICH heterogeneity and volume[2,3]
PHE density range	Not defined	20-35 HU	Precise calculation of PHE volume[12]
Sampling volume	Three axial slices	Full volume or all consecutive slices	Accurate prediction of volume with exclusion of confounding factors via human touch

HU: Hounsfield units; ICH: Intracerebral haemorrhage; PHE: Perihematomal edema.