脑肿瘤分割与检测的自动化技术综述

Uma-E.-Hani, S. Naz, I. Hameed
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引用次数: 13

摘要

大脑是人体控制神经系统的中枢器官。本文简要介绍了脑肿瘤分割与检测的不同技术和不同人的贡献。不同的研究人员提出了不同的方法。与其他扫描相比,MRI扫描图像被认为是高质量的实验输入。在未来,我们将开发一个基于深度学习的自动化脑肿瘤检测系统,并将与现有的最先进技术进行比较,以获得更好、更准确的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated techniques for brain tumor segmentation and detection: A review study
Brain is the central organ of the human body which controls nervous system. In this paper, we give a brief insight of different techniques and contribution of different people for segmentation and detection of brain tumor. Different methodologies are proposed by different researchers. The MRI scan image considers as a high quality input for experiments as compared to other scans. In the future, we will develop a deep learning based automated brain tumor detection system and will compare with the existing state of the art techniques for better and more accurate results.
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