Corrigendum to “Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models”

Ahmad Chaddad; Markus Luedi; Pascal O. Zinn; Rivka Colen

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Corrigendum to “Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models”

机译：通过高斯混合模型磁共振成像“脑肿瘤中脑肿瘤自动特征提取的勘探”

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来源
《International journal of biomedical imaging》 |2017年第2017期|共1页
作者
Ahmad Chaddad; Markus Luedi; Pascal O. Zinn; Rivka Colen;
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作者单位

Department of Diagnostic Radiology;

Department of Diagnostic Radiology;

Baylor College of Medicine;

Department of Diagnostic Radiology;

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原文格式 PDF
正文语种 eng
中图分类诊断学;
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1. Corrigendum to “Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models” [J] . Ahmad Chaddad, Markus Luedi, Pascal O. Zinn, International journal of biomedical imaging . 2017,第期

机译：通过高斯混合模型磁共振成像“脑肿瘤中脑肿瘤自动特征提取的勘探”
2. Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models [J] . Ahmad Chaddad International journal of biomedical imaging . 2015,第Null期

机译：使用高斯混合模型通过磁共振成像自动提取脑肿瘤特征
3. Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models [J] . AhmadChaddad International journal of biomedical imaging . 2015,第5期

机译：使用高斯混合模型通过磁共振成像自动提取脑肿瘤中的特征
4. Average threshold based fractal texture feature extraction on multimodal magnetic resonance brain tumor images [C] . D. Anithadevi, K. Perumal 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials . 2017

机译：基于平均阈值的多峰磁共振脑肿瘤图像的分形纹理特征提取
5. Enhanced Visualization of Magnetic Resonance Brain Tumor Segmnetation Volumes from Deep Automated Models [D] . Gann, Anna Marie. 2020

机译：从深度自动模型增强磁共振脑肿瘤Segmnetation卷的可视化
6. Corrigendum to Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models [O] . Ahmad Chaddad, Markus Luedi, Pascal O. Zinn, 2017

机译：通过使用高斯混合模型的磁共振成像自动提取脑肿瘤特征的勘误
7. Automated classification of brain tumors by deep learning-based models on magnetic resonance images using a developed web-based interface [O] . Bora TETİK, Hasan UCUZAL, Şeyma YAŞAR, 2021

机译：通过开发的基于Web的界面通过基于深入学习的模型自动分类脑肿瘤的磁共振图像
8. Early Detection of Neurofibromatosis Type-1 Brain Tumor Growth and TreatmentResponse by Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, and Positron Emission Tomography in a Trial of Novem Antitumor Drugs [R] . Phillips, P. C., Molloy, P. T., Needle, M. N., 1996

机译：通过磁共振成像，磁共振波谱和正电子发射断层扫描在Novem抗肿瘤药物试验中早期检测神经纤维瘤病1型脑肿瘤生长和治疗反应

Corrigendum to “Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models”

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