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Author

Palak Wadhwa

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Open access Sep 2026

Evaluation of the detection accuracy of a fully automated AI-based lesion segmentation tool in whole-body FDG PET/CT for lymphoma.

BACKGROUND This study evaluated an AI-based lesion segmentation tool using a hybrid 2D-3D deep learning model based on the nnUNet architecture with a ResNet18 backbone, incorporating post-processing to reduce false positives and segmentation-related quantitative errors. METHODS Whole-body FDG PET/CT scans from 72 lym...

Tshegofatso Masogo, Palak Wadhwa, Chimbabantu Kaoma et al. · 0 citations

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