Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …

… Section VI concludes the survey by giving a bird’s eye … convolution neural networks cannot
learn data in non-Euclidean space, the previous GNN model cannot combine with convolution…

… On the other hand, in this survey, we discuss the intrinsic … The various CNN architectures
discussed in this survey are broadly … This survey also gives an insight into the basic structure of …

… High powered and persuasive deep learning technique convolutional neural networks (CNN)
identical to Artificial Neural Networks(ANNs) are composed of neurons, possessing learn …

… In the recent era, the success of deep convolutional neural networks (CNN) has influenced
the field of segmentation greatly and gave us various successful models to date. In this survey…

… During the last decade, Convolutional Neural Networks (CNNs) have become the de facto
… CNNs are feed-forward Artificial Neural Networks (ANNs) with alternating convolutional and …

… Furthermore, according to the dimensions of the convolutional filters, convolutional neural
networks can be classified into 2D-CNN whose kernels are of dimensions of two and 3D-CNN …

… In this survey, we review the concepts and definitions related to transfer learning and we list
… We bring the point of view from different authors of prior surveys, adding some more recent …

… Convolutional neural networks (CNNs) are effective tools for … This article aims to provide
a comprehensive survey of … organs have been surveyed critically and comprehensively. …

… In recent years, convolutional neural networks (CNNs) have been widely used in various
computer visual recognition tasks and have achieved good results compared with traditional …