Accurate automatic delineation of heterogeneous functional volumes in positron emission tomography for oncology applications.
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The evolving role of response-adapted PET imaging in Hodgkin lymphomaA review on segmentation of positron emission tomography imagesThe role of FDG-PET in defining prognosis of Hodgkin lymphoma for early-stage diseaseCharacterization of PET/CT images using texture analysis: the past, the present… any future?Do clinical, histological or immunohistochemical primary tumour characteristics translate into different (18)F-FDG PET/CT volumetric and heterogeneity features in stage II/III breast cancer?Development of a nomogram combining clinical staging with (18)F-FDG PET/CT image features in non-small-cell lung cancer stage I-IIICorrelation of (18)F-FDG avid volumes on pre-radiation therapy and post-radiation therapy FDG PET scans in recurrent lung cancer.Volumetric CT-based segmentation of NSCLC using 3D-SlicerFunctional and molecular image guidance in radiotherapy treatment planning optimization.Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation.Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma.Baseline ¹⁸F-FDG PET image-derived parameters for therapy response prediction in oesophageal cancerA method for comparing intra-tumoural radioactivity uptake heterogeneity in preclinical positron emission tomography studiesAn approach to identify, from DCE MRI, significant subvolumes of tumors related to outcomes in advanced head-and-neck cancer.Optimal definition of biological tumor volume using positron emission tomography in an animal model.Delineation of FDG-PET tumors from heterogeneous background using spectral clusteringImpact of partial-volume effect correction on the predictive and prognostic value of baseline 18F-FDG PET images in esophageal cancer.Impact of tumor size and tracer uptake heterogeneity in (18)F-FDG PET and CT non-small cell lung cancer tumor delineationSpatially resolved regression analysis of pre-treatment FDG, FLT and Cu-ATSM PET from post-treatment FDG PET: an exploratory study.Assessment of tumour size in PET/CT lung cancer studies: PET- and CT-based methods compared to pathology.A segmentation framework towards automatic generation of boost subvolumes for FDG-PET tumors: a digital phantom studyTemporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer.Early prediction of pathological response in locally advanced rectal cancer based on sequential 18F-FDG PET.A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen(18)F-FDG PET/CT imaging in rectal cancer: relationship with the RAS mutational status.Challenges and opportunities in patient-specific, motion-managed and PET/CT-guided radiation therapy of lung cancer: review and perspective.Functional imaging for radiotherapy treatment planning: current status and future directions-a review.A Novel Framework for Automated Segmentation and Labeling of Homogeneous Versus Heterogeneous Lung Tumors in [18F]FDG-PET Imaging.Optimal co-segmentation of tumor in PET-CT images with context information.A framework based on Hidden Markov Trees for multimodal PET/CT image co-segmentation.Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.An algorithm for PET tumor volume and activity quantification: Without specifying camera's point spread function (PSF).Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures.Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementationRobust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot StudyA novel phantom technique for evaluating the performance of PET auto-segmentation methods in delineating heterogeneous and irregular lesions.SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.A Dirichlet process mixture model for automatic (18)F-FDG PET image segmentation: Validation study on phantoms and on lung and esophageal lesions.PETSTEP: Generation of synthetic PET lesions for fast evaluation of segmentation methods.Generic and robust method for automatic segmentation of PET images using an active contour model.
P2860
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P2860
Accurate automatic delineation of heterogeneous functional volumes in positron emission tomography for oncology applications.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Accurate automatic delineation ...... phy for oncology applications.
@en
type
label
Accurate automatic delineation ...... phy for oncology applications.
@en
prefLabel
Accurate automatic delineation ...... phy for oncology applications.
@en
P2093
P1476
Accurate automatic delineation ...... phy for oncology applications.
@en
P2093
André Dekker
Catherine Cheze le Rest
Dimitris Visvikis
Mathieu Hatt
Michel Oellers
Olivier Pradier
Patrice Descourt
Philippe Lambin
P304
P356
10.1016/J.IJROBP.2009.08.018
P407
P577
2010-01-29T00:00:00Z