基于ATR-FTIR光谱与机器学习的乳腺癌与卵巢癌差异性诊断研究

宋澳^1,², 蔡以撒^1,², 蔡李峥^1,⁴, 杨万里¹, 庞楠¹, 于瑞华¹, 王士岩^3,^*, 杨超^1,^*, 姜峰^1,^*

Differential Diagnosis of Breast Cancer and Ovarian Cancer Based on ATR-FTIR Spectroscopy Coupled With Machine Learning

SONG Ao^1,², CAI Yi-sa^1,², CAI Li-zheng^1,⁴, YANG Wan-li¹, PANG Nan¹, YU Rui-hua¹, WANG Shi-yan^3,^*, YANG Chao^1,^*, JIANG Feng^1,^*

详细的平均二阶导数光谱和主要波数乳腺癌(红线)、卵巢癌(蓝线)和正常对照组(黑线)的平均光谱范围为(a)1 800~1 300 cm^-1, (b)1 300~900 cm^-1