Automatic Segmentation of Metastatic Breast Cancer Lesions on (18)F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment

SIMPLE SUMMARY: In the recent years, several deep learning methods for medical image segmentation have been developed for different purposes such as diagnosis, radiotherapy planning or to correlate images findings with other clinical data. However, few studies focus on longitudinal images and respon...

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Detalles Bibliográficos
Autores principales: Moreau, Noémie, Rousseau, Caroline, Fourcade, Constance, Santini, Gianmarco, Brennan, Aislinn, Ferrer, Ludovic, Lacombe, Marie, Guillerminet, Camille, Colombié, Mathilde, Jézéquel, Pascal, Campone, Mario, Normand, Nicolas, Rubeaux, Mathieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750371/
https://www.ncbi.nlm.nih.gov/pubmed/35008265
http://dx.doi.org/10.3390/cancers14010101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750371/
https://www.ncbi.nlm.nih.gov/pubmed/35008265
http://dx.doi.org/10.3390/cancers14010101

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