Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering.
Maria K. JaakkolaMaria RantalaAnna JaloTeemu SaariJaakko HentiläJatta S. HelinTuuli A. NissinenOlli EskolaJohan RajanderKirsi A. VirtanenJarna C. HannukainenFrancisco López-PicónRiku KlénPublished in: Int. J. Biomed. Imaging (2023)
Keyphrases
- unsupervised clustering
- pet ct
- fdg pet
- segmentation algorithm
- segmentation method
- positron emission tomography
- pet images
- image analysis
- input image
- fully automatic
- accurate segmentation
- image segmentation
- edge detection
- image data
- supervised classification
- object recognition
- ct images
- automated segmentation
- clustering method
- medical images
- mr images
- lymph nodes
- segmentation result
- image registration
- data mining
- mri images
- imaging modalities
- lung cancer
- region growing
- skin lesion
- semi supervised
- region of interest
- x ray