A fully automatic and robust brain MRI tissue classification method (vol 7, pg 513, 2003)

被引：2

作者：

Cocosco, CA ^{[1
]}

Zijdenbos, AP ^{[1
]}

Evans, AC ^{[1
]}

机构：

[1] McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ H3A 2B4, Canada

来源：

MEDICAL IMAGE ANALYSIS | 2004年 / 8卷 / 01期

关键词：

D O I：

10.1016/j.media.2003.10.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

引用

页码：93 / 94

页数：2

共 41 条

[1] A fully automatic and robust brain MRI tissue classification method
Cocosco, CA
Zijdenbos, AP
Evans, AC
MEDICAL IMAGE ANALYSIS, 2003, 7 (04) : 513 - 527
[2] Automatic MRI Brain Tissue Classification
Murino, Loredana
Amato, Umberto
Alfano, Bruno
ERCIM NEWS, 2013, (95): : 30 - 31
[3] An atlas-based fuzzy connectedness method for automatic tissue classification in brain MRI
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Bai Jing
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[4] An atlas-based fuzzy connectedness method for automatic tissue classification in brain MRI
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China
Prog. Nat. Sci., 2006, 10 (1106-1110):
[5] An atlas-based fuzzy connectedness method for automatic tissue classification in brain MRI
ZHOU Yongxin and BAI Jing (Department of Biomedical Engineering
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[6] Automatic generation of training data for brain tissue classification from MRI
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[9] Robust Doppler classification technique based on hidden Markov models (vol 150, pg 33, 2003)
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IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 2003, 150 (05) : 387 - 387
[10] RETRACTION: A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas (Retraction of Vol 22, Pg 402, 2020)
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