(Q49047745)

18 February 2018

title

Automatic segmentation of non-enhancing brain tumors in magnetic resonance images. (English)

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18 February 2018

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Fletcher-Heath LM

1

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18 February 2018

Hall LO

series ordinal

2

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18 February 2018

Goldgof DB

series ordinal

3

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18 February 2018

Murtagh FR

series ordinal

4

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18 February 2018

publication date

1 January 2001

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18 February 2018

Artificial Intelligence in Medicine

published in

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18 February 2018

volume

21

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18 February 2018

issue

1-3

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18 February 2018

page(s)

43-63

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18 February 2018

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

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Automatic tumor segmentation using knowledge-based techniques.

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MRI measurement of brain tumor response: comparison of visual metric and automatic segmentation.

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Adaptive fuzzy c-shells clustering and detection of ellipses.

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Fast fluid-attenuated inversion-recovery (FLAIR) MRI in the assessment of intraaxial brain tumors.

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Factors affecting perceived tumor volumes in magnetic resonance imaging.

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Forecasting generalized epileptic seizures from the EEG signal by wavelet analysis and dynamic unsupervised fuzzy clustering.

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7 January 2021

A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain.

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7 January 2021

MR diffusion imaging of human intracranial tumours

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7 January 2021

Segmentation of MR brain images into cerebrospinal fluid spaces, white and gray matter.

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A fuzzy clustering based segmentation system as support to diagnosis in medical imaging.

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7 January 2021

Cerebral tumor volume calculations using planimetric and eigenimage analysis.

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7 January 2021

Automatic magnetic resonance tissue characterization for three-dimensional magnetic resonance imaging of the brain.

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7 January 2021

Automatic cardiac LV boundary detection and tracking using hybrid fuzzy temporal and fuzzy multiscale edge detection.

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MR imaging of high-grade cerebral gliomas: value of diffusion-weighted echoplanar pulse sequences

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7 January 2021

Multispectral analysis of magnetic resonance images

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7 January 2021

Unsupervised measurement of brain tumor volume on MR images.

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7 January 2021

Improved intracranial lesion characterization by tissue segmentation based on a 3D feature map.

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7 January 2021

10.1016/S0933-3657(00)00073-7

Identifiers

DOI

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18 February 2018

journals/artmed/Fletcher-HeathHGM01

DBLP publication ID

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DBLP Dataset 2021-01-02

28 January 2021

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18 February 2018