数码设计Issue(22)：71-73,3.
基于深度学习的脑肿瘤图像分割方法研究
Research of Deep Learning Based Brain Tumor Image Segmentation Methods
摘要
Abstract
Brain tumor is a serious threat to human health,and accurate and fast brain tumor segmentation is crucial for clinical diagnosis,treatment planning and disease monitoring.With the rapid development of deep learning technology,brain tumor image segmentation algorithms based on deep learning have become a hotspot and frontier area of current research.These algorithms achieve accurate segmentation of complex brain tumor images through the ability to automatically learn and characterize image features,which greatly improves the efficiency and accuracy of medical image analysis.关键词
深度学习/数据集/脑肿瘤/图像分割Key words
deep learning/dataset/brain tumor/image segmentation分类
信息技术与安全科学引用本文复制引用
周锋..基于深度学习的脑肿瘤图像分割方法研究[J].数码设计,2023,(22):71-73,3.基金项目
2021年贵州轻工职业技术学院院级课题项目(项目编号:21QY05). （项目编号:21QY05）
