Automated lesion detection of breast cancer in [(18)F] 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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Detalles Bibliográficos
Autores principales: Leal, Jeffrey P., Rowe, Steven P., Stearns, Vered, Connolly, Roisin M., Vaklavas, Christos, Liu, Minetta C., Storniolo, Anna Maria, Wahl, Richard L., Pomper, Martin G., Solnes, Lilja B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705734/
https://www.ncbi.nlm.nih.gov/pubmed/36457510
http://dx.doi.org/10.3389/fonc.2022.1007874

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705734/
https://www.ncbi.nlm.nih.gov/pubmed/36457510
http://dx.doi.org/10.3389/fonc.2022.1007874

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