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Published in Zenodo (CERN European Organization for Nuclear Research) • May 2, 2024
NobleIDNI6P88W41R04S16
Authors:
Giovanni Pasini
Abstract
This release is related to the first submission of the paper "Development of a robust [18F]-PSMA-1007 radiomics-based ensemble machine learning model for differentiating high-risk and low-risk prostate cancer" to the Computers In Biology and Medicine journal
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