Classification and Segmentation of Hyperspectral Data of Hepatocellular Carcinoma Samples Using 1‐D Convolutional Neural Network

Pathological diagnosis plays an important role in the diagnosis and treatment of hepatocellular carcinoma (HCC). The traditional method of pathological diagnosis of most cancers requires freezing, slicing, hematoxylin and eosin staining, and manual analysis, limiting the speed of the diagnosis process. In this study, we designed a one‐dimensional convolutional neural network to classify the hyperspectral data of HCC sample slices acquired by our...