(Q33824804)

29 July 2017

title

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme (English)

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magnetic resonance imaging

29 July 2017

0 references

0 references

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1

Evangelia I Zacharaki

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29 July 2017

7

Christos Davatzikos

1 reference

29 July 2017

Sumei Wang

2

1 reference

29 July 2017

Sanjeev Chawla

3

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29 July 2017

Dong Soo Yoo

4

1 reference

29 July 2017

Ronald Wolf

5

1 reference

29 July 2017

Elias R Melhem

6

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29 July 2017

publication date

1 December 2009

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Magnetic Resonance in Medicine

29 July 2017

published in

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29 July 2017

volume

62

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29 July 2017

issue

6

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29 July 2017

page(s)

1609-1618

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describes a project that uses

29 July 2017

magnetic resonance imaging

1 reference

based on heuristic

inferred from title

cites work

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Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images

4 July 2018

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Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis

4 July 2018

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4 July 2018

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4 July 2018

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4 July 2018

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4 July 2018

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4 July 2018

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4 July 2018

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4 July 2018

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4 July 2018

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4 July 2018

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Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: an application-oriented study.

4 July 2018

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Predictive modeling in glioma grading from MR perfusion images using support vector machines.

29 October 2018

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29 October 2018

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Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features.

29 October 2018

1 reference

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Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis

29 October 2018

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Degree prediction of malignancy in brain glioma using support vector machines.

29 October 2018

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Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines.

29 October 2018

1 reference

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Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected].

29 October 2018

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(1)H-MRS metabolic patterns for distinguishing between meningiomas and other brain tumors

29 October 2018

1 reference

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Automated classification of short echo time in in vivo 1H brain tumor spectra: a multicenter study

29 October 2018

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Tumour grading from magnetic resonance spectroscopy: a comparison of feature extraction with variable selection

29 October 2018

1 reference

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Cerebral blood volume mapping by MR imaging in the initial evaluation of brain tumors.

29 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2863141

Different vascular patterns of medulloblastoma and supratentorial primitive neuroectodermal tumors.

29 October 2018

1 reference

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Are endothelial cell patterns of astrocytomas indicative of grade?

29 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2863141

Proliferative activity in human brain tumors: comparison of histopathology and L-[1-(11)C]tyrosine PET.

29 October 2018

1 reference

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Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings

29 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2863141

Diagnostic performance of spectroscopic and perfusion MRI for distinction of brain tumors

29 October 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/19859947

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1002/MRM.22147

1 reference

29 July 2017

1 reference

29 July 2017

1 reference