Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma

Background: Multi-parametric MRI provides non-invasive methods for response assessment of soft-tissue sarcoma (STS) from non-surgical treatments. However, evaluation of MRI parameters over the whole tumor volume may not reveal the full extent of post-treatment changes as STS tumors are often highly...

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Detalhes bibliográficos
Publicado no:Front Oncol
Main Authors: Blackledge, Matthew D., Winfield, Jessica M., Miah, Aisha, Strauss, Dirk, Thway, Khin, Morgan, Veronica A., Collins, David J., Koh, Dow-Mu, Leach, Martin O., Messiou, Christina
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2019
Assuntos:
Oncology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6795696/
https://ncbi.nlm.nih.gov/pubmed/31649872
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2019.00941
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