Lung Cancer Detection using 3D-Convolution Neural Network

S. V, Poongodi C, S. G, S. S, S. V
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引用次数: 1

Abstract

Our paper uses an innovative 3D Convolutional Neural Network to determine lung cancer from patients' Computed Tomography (CT) scans because Convolutional Neural Networks (CNN) are useful for extracting important characteristics from images. This project aims to analyze CT scan slices (the data) and create a machine learning model based on the analysis. In this case, 3D Convolutional Neural Networks determine whether a person has cancer by evaluating the data and using a preprocessing technique. By utilizing this device, one can identify and eliminate cancerous cells at their earliest stages
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三维卷积神经网络检测肺癌
我们的论文使用创新的3D卷积神经网络从患者的计算机断层扫描(CT)扫描中确定肺癌,因为卷积神经网络(CNN)对于从图像中提取重要特征很有用。本项目旨在分析CT扫描切片(数据),并基于分析创建机器学习模型。在这种情况下,3D卷积神经网络通过评估数据和使用预处理技术来确定一个人是否患有癌症。通过使用这种设备,人们可以在癌细胞的早期阶段识别和消除癌细胞
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