Brain tumor classification using AFM in combination with data mining techniques (Q30669767)

9 July 2018

title

Brain tumor classification using AFM in combination with data mining techniques (English)

1 reference

9 July 2018

0 references

1 reference

Marlene Huml

1 reference

9 July 2018

René Silye

1 reference

9 July 2018

Gerald Zauner

1 reference

9 July 2018

Stephan Hutterer

1 reference

9 July 2018

Kurt Schilcher

1 reference

9 July 2018

language of work or name

English

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publication date

25 August 2013

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9 July 2018

BioMed Research International

published in

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9 July 2018

volume

2013

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9 July 2018

page(s)

176519

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9 July 2018

Creative Commons Attribution 3.0 Unported

start time

1 January 2013

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April 2022 Public Data File from Crossref

copyrighted

1 reference

April 2022 Public Data File from Crossref

cites work

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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28 July 2018

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Improving diagnostic accuracy and interobserver concordance in the classification and grading of primary gliomas

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Atomic force microscopy imaging of the human trigeminal ganglion

21 January 2018

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Nearest-neighbor classification for identification of aggressive versus nonaggressive low-grade astrocytic tumors by means of image cytometry-generated variables.

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21 January 2018

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

21 January 2018

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YKL-40 is a differential diagnostic marker for histologic subtypes of high-grade gliomas

21 January 2018

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Automated image analysis of gliomas an objective and reproducible method for tumor grading.

21 January 2018

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21 January 2018

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Neural Networks Grown on Organic Semiconductors

21 January 2018

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Computer-based malignancy grading of astrocytomas employing a support vector machine classifier, the WHO grading system and the regular hematoxylin-eosin diagnostic staining procedure.

21 January 2018

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Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging

25 November 2018

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Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3766995

Topometric analysis of diffuse astrocytomas.

25 November 2018

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3766995

Improving Morphology‐Based Malignancy Grading Schemes in Astrocytic Tumors by Means of Computer‐Assisted Techniques

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3766995

Computer-assisted discrimination of glioblastomas

25 November 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3766995

25 November 2018

1 reference

https://pubmed.ncbi.nlm.nih.gov/24062997

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Dynamics of astrocyte adhesion as analyzed by a combination of atomic force microscopy and immuno-cytochemistry: the involvement of actin filaments and connexin 43 in the early stage of adhesion

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/24062997

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Morphometrically assisted grading of astrocytomas

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/24062997

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1155/2013/176519

1 reference

9 July 2018

PMC publication ID

3766995

1 reference

9 July 2018

PubMed publication ID

24062997

1 reference

9 July 2018