Impact of deep learning‐based multiorgan segmentation methods on patient‐specific internal dosimetry in PET/CT imaging: A comparative study
Mehrnoosh Karimipourfard,
Sedigheh Sina,
Hojjat Mahani
et al.
Abstract:PurposeAccurate and fast multiorgan segmentation is essential in image‐based internal dosimetry in nuclear medicine. While conventional manual PET image segmentation is widely used, it suffers from both being time‐consuming as well as subject to human error. This study exploited 2D and 3D deep learning (DL) models. Key organs in the trunk of the body were segmented and then used as a reference for networks.MethodsThe pre‐trained p2p‐U‐Net‐GAN and HighRes3D architectures were fine‐tuned with PET‐only images as … Show more
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