Detection of Brain Tumor & Intra-Tumoral Structures from the Brain MR Images

Mukesh M Goswami, B. Rao
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Abstract

Discovering the brain tumor and Intra-Tumoral structures from the brain tumor MR images is an essential task in tumor diagnostics. An automated system that accurately detects the brain tumor and intra-Tumoral structure from MR images will help the patients with a speedy recovery. It also reduces the time required for diagnosis.Detection of the brain tumor and the intra-Tumoral region is an intricate task as the structure of the tumor has different size, shape, location, and variation in intensity range. Here we have analyzed a variety of supervised and unsupervised learning techniques for the uncovering of a brain tumor and intraTumoral structures. We have designed a multistage hybrid approach using the information from different MR models such as features from individual images and features from the fused images to improve the accuracy of detecting a brain tumor and internal tumor structure from MRI images.
从脑磁共振图像中检测脑肿瘤及肿瘤内结构
从脑肿瘤磁共振图像中发现肿瘤及肿瘤内结构是肿瘤诊断的一项重要任务。从磁共振图像中准确检测脑肿瘤和肿瘤内结构的自动化系统将帮助患者快速康复。它还减少了诊断所需的时间。脑肿瘤及其肿瘤内区域的检测是一项复杂的任务,因为肿瘤的结构具有不同的大小、形状、位置和强度范围的变化。在这里,我们分析了各种用于发现脑肿瘤和肿瘤内结构的监督和非监督学习技术。我们设计了一种多阶段混合方法,利用来自不同磁共振模型的信息,如来自单个图像的特征和来自融合图像的特征,以提高从MRI图像中检测脑肿瘤和内部肿瘤结构的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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