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Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET III

2026-05-07

Abstract excerpt

Tumor segmentation in whole-body PET/CT imaging is crucial for precise disease evaluation and treatment planning. However, it remains challenging due to variability in lesion size, contrast, and anatomical distribution. Relying on manual segmentation makes the process time-consuming and prone to intra- and inter-observer variability. This work presents a whole-body tumor segmentation method developed for the AutoP...

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Literature Corpus work
ecfb5bdc-da46-579a-a00a-e26300cd677e
DOI
10.20944/preprints202605.0376.v1
Open publication

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