A convolutional neural network-based system for fully automatic segmentation of whole-body [ 68 Ga]Ga-PSMA PET images in prostate cancer.

Esmail JafariAmin ZareiHabibollah DadgarAhmad KeshavarzReyhaneh Manafi-FaridHabib RostamiMajid Assadi

Published in: European journal of nuclear medicine and molecular imaging (2023)

The deep learning networks presented here offer promising solutions for automatically segmenting malignant lesions in prostate cancer patients using [68Ga]Ga-PSMA PET. These networks achieve a high level of accuracy in whole-body segmentation, as measured by the DSC and PPV at the voxel level. The resulting segmentations can be used for extraction of PET-derived quantitative biomarkers and utilized for treatment response assessment and radiomic studies.

Keyphrases

pet ct
deep learning
convolutional neural network
prostate cancer
artificial intelligence
positron emission tomography
machine learning
radical prostatectomy
computed tomography