CT-based deep learning segmentation of ovarian cancer and the stability of the extracted radiomics features

BACKGROUND: Radiomics analysis could provide complementary tissue characterization in ovarian cancer (OC). However, OC segmentation required in radiomics analysis is time-consuming and labour-intensive. In this study, we aim to evaluate the performance of deep learning-based segmentation of OC on co...

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Detalles Bibliográficos
Autores principales: Wang, Yiang, Wang, Mandi, Cao, Peng, Wong, Esther M. F., Ho, Grace, Lam, Tina P. W., Han, Lujun, Lee, Elaine Y. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423396/
https://www.ncbi.nlm.nih.gov/pubmed/37581064
http://dx.doi.org/10.21037/qims-22-1135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423396/
https://www.ncbi.nlm.nih.gov/pubmed/37581064
http://dx.doi.org/10.21037/qims-22-1135

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