Globally optimal tumor segmentation in PET-CT images: a graph-based co-segmentation method. - Wikidata - wikimedia - TriplyDB

Globally optimal tumor segmentation in PET-CT images: a graph-based co-segmentation method.

Globally optimal tumor segmentation in PET-CT images: a graph-based co-segmentation method.

http://www.wikidata.org/entity/Q41885248

about

A review on segmentation of positron emission tomography images Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion.Computerized PET/CT image analysis in the evaluation of tumour response to therapy.Multi-phase simultaneous segmentation of tumor in lung 4D-CT data with context information.Semiautomated segmentation of head and neck cancers in 18F-FDG PET scans: A just-enough-interaction approach.Joint segmentation of anatomical and functional images: applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images Optimal co-segmentation of tumor in PET-CT images with context information.Exploring the use of shape and texture descriptors of positron emission tomography tracer distribution in imaging studies of neurodegenerative disease.Comparative study with new accuracy metrics for target volume contouring in PET image guided radiation therapy.Automatic Segmentation of Lung Carcinoma Using 3D Texture Features in 18-FDG PET/CT.Surface-region context in optimal multi-object graph-based segmentation: robust delineation of pulmonary tumors.Quantitative Imaging for Targeted Radionuclide Therapy Dosimetry - Technical Review.Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices.

P2860

Q26825470-7E3AFD6F-94C1-4EB5-901E-1BF5EB299755 Q30949446-CA15C58F-C80B-4C6D-8512-3345A0A92CAA Q36295403-A14E7E42-2335-4C65-9C46-A518F6CA8337 Q36407353-5972B0E9-FBCF-4DC1-9F93-D34A445E0F0C Q36922380-CDB06A11-CD2D-47DA-BF7B-B16DFDD2B9FA Q37228057-EBE25C20-668C-445F-8CEC-D6BB90F5E51D Q38501034-9A1255FF-B235-43DF-8B70-8A4F060FB8D0 Q40218040-F1237A59-7D7E-4246-81EC-AE8AD7764F2A Q41513145-A9B10121-2CE7-4011-9EE1-92BA13B3E5E6 Q41777454-19D408C0-657F-455B-A3FE-70FCF0049D67 Q42871500-6C1DE282-D50D-46AE-B151-15B415C429D4 Q47124584-2CEEB8F7-8C2C-4FC4-8EF3-47CFCEF157A3 Q52569501-17D151CF-2C3E-465B-B7DE-84EBDE237820

P2860

Globally optimal tumor segmentation in PET-CT images: a graph-based co-segmentation method.

http://www.wikidata.org/entity/Q41885248

description

2011 nî lūn-bûn

@nan

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

@zh-tw

2011年论文

@wuu

2011年论文

@zh

2011年论文

@zh-cn

name

Globally optimal tumor segment ...... -based co-segmentation method.

@en

type

label

Globally optimal tumor segment ...... -based co-segmentation method.

@en

prefLabel

Globally optimal tumor segment ...... -based co-segmentation method.

@en

P1433

Q41885248-5568B304-345E-4FF9-8786-FDD8719B00B0

P1476

Q41885248-BDF5FFEC-56B7-46F6-83D3-491640921386

P2093

Q41885248-2AC8B885-1ED1-4357-862A-F23E7FE17733

Q41885248-320CA0F5-2B02-4B56-891D-34CD702C1581

Q41885248-376197ED-5666-4273-A788-708F21DF5DDD

Q41885248-38141462-2246-4A69-AC0B-85E53123C608

Q41885248-40D7AB06-CBC1-4C38-99F7-3F26F733752D

Q41885248-687DF6E9-81CA-4DB4-9CF8-27FEF7442F7A

Q41885248-6F8B6D9E-E721-431B-9EBD-23C2FD20C560

P2860

Q41885248-1A2802FE-98D0-4717-8480-7E12C6E1CA80

Q41885248-2619D9B5-511E-4B25-9BF3-320AF1F0F81F

Q41885248-47FAF4BE-A328-4EC3-82A8-113B350645CF

Q41885248-4A224746-CBAB-4518-BD71-C872D41D9C30

Q41885248-50883B5D-3AD6-4686-8ADC-47574FFC9EDF

Q41885248-565155FE-6389-441C-8D99-C5F2136FC817

Q41885248-E24287C1-13C4-4BED-8C85-0D29A6C1B8CB

P304

Q41885248-C0140767-385A-4BBD-A32E-A4554C7DF1BA

P31

Q41885248-3E972E4E-BE06-4067-97F4-10A551C095AF

P478

Q41885248-46C244F2-6E79-4BEE-A116-1735FA2E9899

P577

Q41885248-9DBA7DD3-7423-46D5-8BE5-8D6F51625BAD

P698

Q41885248-EEE1F346-5656-4AC9-8EBC-B5D297D79635

P932

Q41885248-DFD04F04-DF37-4BE0-8E52-5C7F11866517

P1433

Information Processing in Medical Imaging

P1476

Globally optimal tumor segment ...... -based co-segmentation method.

@en

P2093

Aakant Taurani

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

Dongfeng Han

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

John Bayouth

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

John Buatti

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

Milan Sonka

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

Qi Song

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

Xiaodong Wu

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

P2860

Surface-region context in optimal multi-object graph-based segmentation: robust delineation of pulmonary tumors.

Automated radiation targeting in head-and-neck cancer using region-based texture analysis of PET and CT images.

elastix: a toolbox for intensity-based medical image registration.

Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning.

PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes.

Tumor delineation using PET in head and neck cancers: threshold contouring and lesion volumes.

Variability of gross tumor volume delineation in head-and-neck cancer using CT and PET/CT fusion.

P304

245-256

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

P31

scholarly article

P478

22

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

P577

2011-01-01T00:00:00Z

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

P698

21761661

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

P932

3158679

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