Deep Learning Technology Applied to Medical Image Tissue Classification.

ABSTRACT: Medical image classification is a novel technology that presents a new challenge. It is essential that pathological images are automatically and correctly classified to enable doctors to provide precise treatment. Convolutional neural networks have demonstrated their effectiveness in classifying images in deep learning, which may have dozens or hundreds of layers, to illustrate the relationship between them in terms of their different neural network features. Convolutional layers consisting of small kernels take weights as input and guide them through an activation function as output. The main advantage of using convolutional neural networks (CNNs) instead of traditional neural networks is that they reduce the model parameters for greater accuracy. However, many studies have simply been fo

SUBMITTER: Tsai MJ 

PROVIDER: S-EPMC9600639 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature