English(EN) Beyond Morphology: Quantifying the Diagnostic Power of Color Features in Cancer Classification

仅颜色特征在癌症分类中达到89%的准确率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-18 15:10

研究人员开发了一种方法，可以独立于形态学线索来量化颜色特征在癌症分类中的诊断能力。通过分析统计颜色矩和离散化的RGB/HSV直方图，他们的模型在区分良性和恶性样本方面达到了高达89%的准确率。这表明单纯的颜色特征本身就可以编码重要的诊断信号，有潜力作为癌症检测的有效预筛查工具。 AI

影响展示了计算效率高的AI模型在医疗诊断中作为有效预筛查工具的潜力。

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arXiv cs.AI TIER_1 English(EN) · Masoud Makrehchi · 2026-05-18 15:10

超越形态学：量化颜色特征在癌症分类中的诊断能力

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…