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Table 2 Description and name of PET-AS methods used in this study. The references correspond to recent publications using similar PET-AS algorithms

From: A novel phantom technique for evaluating the performance of PET auto-segmentation methods in delineating heterogeneous and irregular lesions

Segmentation approach

Name

Description

Adaptive thresholding

AT

3D iterative background-subtracted thresholding

Region-growing

RG

3D iterative region-growing with automatic seed finder

Clustering

GCM2-GCM8

3D fuzzy C-means segmentation with Gaussian mixture modelling, identifying 2, 3, 4, 5, 6, 7 or 8 clusters

Watershed Transform

WT

Slice-by-slice watershed transform-based segmentation, with automatic seed finder