Diagnosis of Brain Tumours from Magnetic Resonance Spectroscopy using Wavelets and Neural Networks

机译：使用小波和神经网络诊断磁共振光谱脑肿瘤的脑肿瘤

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The diagnosis of human brain tumours from non-invasive signal measurements is a sensitive task that requires specialized expertise. In this task, radiology experts are likely to benefit from the support of computer-based systems built around robust classification processes. In this brief paper, a method that combines data pre-processing using wavelets with classification using Artificial Neural Networks is shown to yield high diagnostic classification accuracy for a broad range of brain tumour pathologies.

机译：来自非侵入性信号测量的人脑肿瘤的诊断是需要专门专业知识的敏感任务。在此任务中，放射学专家可能会受益于围绕强大的分类过程内置的基于计算机的系统的支持。在该简要论文中，示出了一种将数据预处理结合使用人工神经网络的分类的数据预处理，以产生高脑肿瘤病理的高诊断分类精度。

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《Annual International Conference of the IEEE Engineering in Medicine and Biology Society》|2010年||共4页
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Carlos Arizmendi; Juan Hernandez-Tamames; Enrique Romero; Alfredo Vellido; Francisco del Pozo;
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1. Diagnostic assessment of brain tumours and non-neoplastic brain disorders in vivo using proton nuclear magnetic resonance spectroscopy and artificial neural networks. [J] . Poptani H, Kaartinen J, Gupta RK, Journal of Cancer Research and Clinical Oncology . 1999,第6期

机译：使用质子核磁共振波谱和人工神经网络对体内脑肿瘤和非肿瘤性脑疾病进行诊断评估。
2. Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks [J] . Mahmoud Khaled Abd-Ellah, Ali Ismail Awad, Ashraf A. M. Khalaf, EURASIP journal on image and video processing . 2018,第1期

机译：卷积神经网络磁共振图像两相多模型自动脑肿瘤诊断系统
3. Proton magnetic resonance spectroscopy ((1)H MRS) of human brain tumours: assessment of differences between tumour types and its applicability in brain tumour categorization. [J] . Majos C, Alonso J, Aguilera C, European radiology . 2003,第3期

机译：人脑肿瘤的质子磁共振波谱（（1）H MRS）：评估肿瘤类型之间的差异及其在脑肿瘤分类中的适用性。
4. Diagnosis of brain tumours from magnetic resonance spectroscopy using wavelets and Neural Networks [C] . Arizmendi Carlos, Hernandez-Tamames Juan, Romero Enrique, 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2010

机译：基于小波和神经网络的磁共振波谱诊断脑肿瘤
5. Assessment of brain tumor angiogenesis using perfusion magnetic resonance imaging and magnetic resonance spectroscopy. [D] . Akella, Narasimha Shastry. 2005

机译：使用灌注磁共振成像和磁共振波谱评估脑肿瘤血管生成。
6. The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses [O] . Alexander Pérez-Ruiz, Margarida Julià-Sapé, Guillem Mercadal, 2010

机译：INTERPRET决策支持系统3.0版用于评估人脑肿瘤和其他异常脑质量的磁共振波谱数据
7. The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses [O] . Alexander Pérez-Ruiz, Margarida Julià-Sapé, Guillem Mercadal, 2010

机译：INTERPRET决策支持系统3.0版，用于评估人脑肿瘤和其他异常脑质量的磁共振波谱数据

Diagnosis of Brain Tumours from Magnetic Resonance Spectroscopy using Wavelets and Neural Networks

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