Deep learning model for automatic segmentation of lungs and pulmonary metastasis in small animal MR images

Lungs are the most frequent site of metastases growth. The amount and size of pulmonary metastases acquired from MRI imaging data are the important criteria to assess the efficacy of new drugs in preclinical models. While efficient solutions both for MR imaging and the downstream automatic segmentat...

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Detalles Bibliográficos
Autores principales: Lefevre, Edgar, Bouilhol, Emmanuel, Chauvière, Antoine, Souleyreau, Wilfried, Derieppe, Marie-Alix, Trotier, Aurélien J., Miraux, Sylvain, Bikfalvi, Andreas, Ribot, Emeline J., Nikolski, Macha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580845/
https://www.ncbi.nlm.nih.gov/pubmed/36304332
http://dx.doi.org/10.3389/fbinf.2022.999700

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580845/
https://www.ncbi.nlm.nih.gov/pubmed/36304332
http://dx.doi.org/10.3389/fbinf.2022.999700

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