An interpretable multi-scale convolutional attention residual neural network for glioma grading with Raman spectroscopy

作者：Qingbo Li, Xupeng Shao, Yan Zhou, Yinyan Wang, Zeya Yan, Hongbo Bao, Lipu Zhou · 发表于：Analytical Methods · 年份：2024 · DOI：10.1039/d4ay02068e · 被引用次数：7 · 研究领域：Spectroscopy Techniques in Biomedical and Chemical Research、Spectroscopy and Chemometric Analyses、Brain Tumor Detection and Classification

A Multi-Scale Convolutional Attention Residual Neural Network (M-SCA ResNet) based on Raman spectroscopy was proposed for glioma grading, with the extraction of key Raman shifts that contribute to the classification process.