Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification

ArXi:2605.18522v1 Announce Type: cross In histopathology, human experts primarily rely on color as a means of enhancing contrast to interpret tissue morphology, whereas machine vision models process color as raw statistical information. This distinction raises a fundamental question: to what extent can pixel intensity alone, independent of structural and morphological cues, cancer classification? To address this question, we systematically evaluated the standalone discriminative power of global color features while deliberately excluding all morphological information.