论文标题
使用人工卷积神经网络检测脑肿瘤
Brain tumor detection using artificial convolutional neural networks
论文作者
论文摘要
在本文中，使用卷积神经网络（CNN）将人类大脑的NMR图像分类为4种不同类型的肿瘤：脑膜瘤，神经胶质瘤和垂体肿瘤。在该项目的训练阶段，同时在评估阶段获得了100％的精度，精度为96％。
In this paper, a convolutional neural network (CNN) was used to classify NMR images of human brains with 4 different types of tumors: meningioma, glioma and pituitary gland tumors. During the training phase of this project, an accuracy of 100% was obtained, meanwhile, in the evaluation phase the precision was 96%.
