A fully automated AI-based method for tumour detection and quantification on [18F]PSMA-1007 PET–CT images in prostate cancer

A fully automated AI-based method for tumour detection and quantification on [18F]PSMA-1007 PET–CT images in prostate cancer

Abstract Background In this study, we further developed an artificial intelligence (AI)-based method for the detection and quantification of tumours in the prostate, lymph nodes and bone in prostate-specific membrane antigen (PSMA)-targeting positron emission tomography with computed tomography (PET...

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Bibliographic Details
Main Authors: Elin Trägårdh, Johannes Ulén, Olof Enqvist, Måns Larsson, Kristian Valind, David Minarik, Lars Edenbrandt
Format: Article
Language:English
Published: SpringerOpen 2025-08-01
Series:EJNMMI Physics
Subjects:
Prostate cancer
PET–CT
Artificial intelligence
PSMA
CNN
Online Access:https://doi.org/10.1186/s40658-025-00786-9
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https://doi.org/10.1186/s40658-025-00786-9

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