Automated lesion detection of breast cancer in [18F] FDG PET/CT using a novel AI-Based workflow

Automated lesion detection of breast cancer in [18F] FDG PET/CT using a novel AI-Based workflow

Applications based on artificial intelligence (AI) and deep learning (DL) are rapidly being developed to assist in the detection and characterization of lesions on medical images. In this study, we developed and examined an image-processing workflow that incorporates both traditional image processin...

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Bibliographic Details
Main Authors: Jeffrey P. Leal, Steven P. Rowe, Vered Stearns, Roisin M. Connolly, Christos Vaklavas, Minetta C. Liu, Anna Maria Storniolo, Richard L. Wahl, Martin G. Pomper, Lilja B. Solnes
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
artificial intelligence
machine learning
deep learning
PERCIST v1.0
breast cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1007874/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.1007874/full

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