Fig. 4From: Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusionAI method for tumor diagnosis by Raman spectroscopy a Different grade bladder cancer cell classification accuracy of the 11 classifiers [81]; b Three classic CNNs (AlexNet, ResNet, and GoogLeNet) model structure for diagnosis of glioma [90]; c RNN model structure for diagnosis of lung cancer and glioma [91]; d The conversion from the Raman spectral signal into 2D Raman spectrograms [74]; e Raman encoding figures [76]Back to article page