Baseline correction of Raman spectral data using triangular deep convolutional networks

We have proposed a novel deep learning architecture, the Triangular Deep Convolutional Network (TDCN), for Raman spectral baseline correction. TDCN enhances spectral pre-processing, thereby improving the reliability of downstream analyses.