磁共振图像中脑肿瘤的自动检测与分割

2014 Pan American Health Care Exchanges (PAHCE) Pub Date : 2014-04-07 DOI:10.1109/PAHCE.2014.6849645

V. Zeljkovic, C. Druzgalski, Y. Zhang, Z. Zhu, Z. Xu, D. Zhang, P. Mayorga

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引用次数: 34

摘要

当神经系统检查显示可能存在原发性或转移性脑肿瘤时，MRI或CT扫描图像是主要的随访诊断工具。肿瘤组织的颜色比大脑其他区域的颜色更亮。基于这一观察，开发了一种脑肿瘤检测和医生协助简化和加速诊断程序的自动化算法，并在诊断肿瘤患者和健康受试者获得的图像上进行了初步测试。

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Automatic brain tumor detection and segmentation in MR images

The MRI or CT scan images are primary follow up diagnostic tools when a neurologic exam indicates a possibility of a primary or metastatic brain tumor existence. The tumor tissue mainly appears in brighter colors than the rest of the regions in the brain. Based on this observation, an automated algorithm for brain tumor detection and medical doctors' assistance in facilitated and accelerated diagnosis procedure has been developed and initially tested on images obtained from the patients with diagnosed tumors and healthy subjects.

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来源期刊

2014 Pan American Health Care Exchanges (PAHCE)

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