A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET

Medical Physics

Volumn 37, Issue 3, 2010, Pages 1309-1324

  Belhassen, Saoussen ^a   Zaidi, Habib ^a,b  

^a GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^b UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

Anisotropic diffusion filtering; FCM segmentation; Intensity heterogeneity; Positron emission tomography (PET); trous wavelet transform

Indexed keywords

BIOLOGICAL ORGANS; COPYING; ERRORS; FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE SEGMENTATION; MEDICAL IMAGING; OPTICAL ANISOTROPY; POSITRON EMISSION TOMOGRAPHY; RADIOTHERAPY; TRACERS; TUMORS; WAVELET TRANSFORMS;

ANISOTROPIC DIFFUSION FILTERING; FUZZY C-MEANS CLUSTERING ALGORITHMS; INTENSITY HETEROGENEITY; NON SMALL CELL LUNG CANCER; NON-LINEAR ANISOTROPIC DIFFUSION; POSITRON EMISSION TOMOGRAPHY (PET); RADIATION THERAPY TREATMENT PLANNING; ROBUST IMAGE SEGMENTATION;

CLUSTERING ALGORITHMS;

EID: 77749240320     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3301610     Document Type: Article

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