we will use a Sequential type model that will allow us to construct a simple convolutional neural network to analyze the spectrograms produced and achieve a desirable result. Since the architecture of the model developed is quite simple,
artificial intelligence (AI); BigData; convolutional neural networks; deep learning; recurrent neural network1. Introduction Originally, artificial intelligence (AI) was used in the field of drug discovery for processes such as the pattern matching of molecular structure correlations and the automatic ...
Keywords: Convolutional Neural Networks (CNNs); semantic segmentation; feature extraction; classification; prediction MSC: 68U01; 68U99 1. Introduction Tongue diagnosis is a very traditional and effective method which has been widely used for disease diagnosis in Traditional Chinese medicine (TCM) ...
[24] proposed a convolutional neural network architecture which achieved high accuracy in classifying liver lesions in CEUS investigations. Compared with other studies, their proposed method could classify an investigation into five different classes (hepatocellular carcinoma, hypervascular metastases, hypo...