Stratification of tumour cell radiation response and metabolic signatures visualization with Raman spectroscopy and explainable convolutional neural network
抗辐射性
卷积神经网络
计算机科学
放射治疗
人工智能
癌症研究
生物
医学
内科学
作者
Alejandra M. Fuentes,Kirsty Milligan,Mitchell Wiebe,Apurva Narayan,Julian J. Lum,Alexandre G. Brolo,Jeffrey L. Andrews,A Jirăsek
出处
期刊:Analyst [The Royal Society of Chemistry] 日期:2024-01-01卷期号:149 (5): 1645-1657被引量:5
A CNN was developed for classifying Raman spectra of radiosensitive and radioresistant tumour cells. Furthermore, a CNN explainability method was proposed to identify biomolecular Raman signatures associated with the observed radiation responses.