… convolutional neural network algorithm, this paper proposes a new convolutional neural
network … Not only can we use convolutional neural networks to learn high-level features, but also …

… Using these, we developed deep learning through convolutional neural networks (CNNs).
We also prepared 1118 test images for 47 patients with 49 esophageal cancers and 50 …

… the Artificial Neural Network (… artificial intelligence in common machine learning tasks. One
of the most impressive forms of ANN architecture is that of the Convolutional Neural Network (…

… on developments in artificial neural networks in which multiple network layers are added to
… behind deep convolutional neural networks (CNNs) is provided in Fig 1. Neural networks aim …

… Image recognition using artificial intelligence with deep learning through convolutional
neural networks (CNNs) has dramatically improved and been increasingly applied to medical …

… Studies have shown that the use of artificial intelligence can … the feasibility of using convolution
neural networks (CNNs). … the terms ‘convolutional neural network or artificial intelligence’, ‘…

… of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare
the performance of an AI algorithm, the lung cancer prediction convolutional neural network …

… The utility of artificial intelligence (AI) in colonoscopy has gained popularity in current
times. Recent trials have evaluated the efficacy of deep convolutional neural network (DCNN)-…

… overcome the difficulties of training deep neural networks, which brought about the study of
deep learning. Krizhevsky et al. [11] achieved the best classification result at that time using …

… We developed an AI-diagnostic system of convolutional neural networks using deep
learning techniques with these images. Subsequently, 291 test images were prepared and …