PET image segmentation using a Gaussian mixture model and Markov random fields.

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Background based Gaussian mixture model lesion segmentation in PET.SHAPE BASED IMAGE RECONSTRUCTION USING LINEARIZED DEFORMATIONS.Simultaneous tomographic reconstruction and segmentation with class priors

P2860

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P2860

PET image segmentation using a Gaussian mixture model and Markov random fields.

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http://www.wikidata.org/entity/Q40392439

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name

PET image segmentation using a Gaussian mixture model and Markov random fields.

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label

PET image segmentation using a Gaussian mixture model and Markov random fields.

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prefLabel

PET image segmentation using a Gaussian mixture model and Markov random fields.

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P1476

PET image segmentation using a Gaussian mixture model and Markov random fields.

@en

P2093

Christiane Schuchardt

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Gerald Matz

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Johannes Neuwirth

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Richard P Baum

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Stefan Wiessalla

http://www.w3.org/2001/XMLSchema#string

Thomas Layer

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P2860

A fuzzy locally adaptive Bayesian segmentation approach for volume determination in PET.

Volumetric uncertainty in radiotherapy.

Current status of PET/CT for tumour volume definition in radiotherapy treatment planning for non-small cell lung cancer (NSCLC).

Use of PET and PET/CT for radiation therapy planning: IAEA expert report 2006-2007.

Segmentation of positron emission tomography images: some recommendations for target delineation in radiation oncology.

Fuzzy hidden Markov chains segmentation for volume determination and quantitation in PET.

Comparative assessment of methods for estimating tumor volume and standardized uptake value in (18)F-FDG PET.

Development of a generic thresholding algorithm for the delineation of 18FDG-PET-positive tissue: application to the comparison of three thresholding models.

Radiotherapy treatment planning for patients with non-small cell lung cancer using positron emission tomography (PET).

Influence of PET reconstruction parameters on the TrueX algorithm. A combined phantom and patient study.

P2888

s40658-015-0110-7

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scholarly article

P356

10.1186/S40658-015-0110-7

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P433

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P478

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Dietmar Georg

Matthias Blaickner

B Knäusl

P577

2015-03-12T00:00:00Z

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273912145

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1013939117

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26501811

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4545759

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PET image segmentation using a Gaussian mixture model and Markov random fields.

about

P2860

P2860

PET image segmentation using a Gaussian mixture model and Markov random fields.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P5875

P6179

P698

P932

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P5875

P6179

P698

P932