Using YOLOV۸ in lung cancer detection with CT scan images

A convolutional neural network is a special type of multilayer neural network that processes data with a grid-like arrangement and then extracts important features from it. A major advantage of using CNNs is that there is no need for large-scale preprocessing of the images. Purpose: Our goal is to analyze human lung CT scan images using CNN neural network and Yolov۸ model, which leads to the diagnosis of lung cancer using deep neural networks. Type of Research: This article has been done in a scientific research method using the Python programming language in Google Colab. Results: At first, we studied the articles of other researchers and then we found a suitable model for processing lung images. The accuracy of this model is more than ۹۳% on new images, which shows the proper functioning of this neural network

Keywords:

cancer , lung cancer , artificial intelligence , neural network , Yolov۸ ,