Twelve automated thresholding methods for segmentation of PET images: a phantom study.
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State-Of-The-Art and Recent Advances in Quantification for Therapeutic Follow-Up in Oncology Using PETjClustering, an open framework for the development of 4D clustering algorithms.Simultaneous Tumor Segmentation, Image Restoration, and Blur Kernel Estimation in PET Using Multiple RegularizationsAdaptive region-growing with maximum curvature strategy for tumor segmentation in 18F-FDG PET.Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation.Joint segmentation of anatomical and functional images: applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT imagesA Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions.FDG-PET-based differential uptake volume histograms: a possible approach towards definition of biological target volumes.Time efficient 124I-PET volumetry in benign thyroid disorders by automatic isocontour procedures: mathematic adjustment using manual contoured measurements in low-dose CT.FDG PET/CT for rectal carcinoma radiotherapy treatment planning: comparison of functional volume delineation algorithms and clinical challenges.Influence of cold walls on PET image quantification and volume segmentation: a phantom study.Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices.Evaluation of advanced automatic PET segmentation methods using nonspherical thin-wall inserts.
P2860
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P2860
Twelve automated thresholding methods for segmentation of PET images: a phantom study.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh-hant
name
Twelve automated thresholding methods for segmentation of PET images: a phantom study.
@en
Twelve automated thresholding methods for segmentation of PET images: a phantom study.
@nl
type
label
Twelve automated thresholding methods for segmentation of PET images: a phantom study.
@en
Twelve automated thresholding methods for segmentation of PET images: a phantom study.
@nl
prefLabel
Twelve automated thresholding methods for segmentation of PET images: a phantom study.
@en
Twelve automated thresholding methods for segmentation of PET images: a phantom study.
@nl
P2093
P50
P356
P1476
Twelve automated thresholding methods for segmentation of PET images: a phantom study
@en
P2093
Izaskun Bilbao
Margarita Ecay
Marisol Gómez
Pablo Lecumberri
P304
P356
10.1088/0031-9155/57/12/3963
P577
2012-05-31T00:00:00Z