Computer-Aided Segmentation and Machine Learning of Integrated Clinical and Diffusion-Weighted Imaging Parameters for Predicting Lymph Node Metastasis in Endometrial Cancer

SIMPLE SUMMARY: Computer-aided segmentation and machine learning added values of clinical parameters and diffusion-weighted imaging radiomics for predicting nodal metastasis in endometrial cancer, with a diagnostic performance superior to criteria based on lymph node size or apparent diffusion coeff...

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Detalles Bibliográficos
Autores principales: Yang, Lan-Yan, Siow, Tiing Yee, Lin, Yu-Chun, Wu, Ren-Chin, Lu, Hsin-Ying, Chiang, Hsin-Ju, Ho, Chih-Yi, Huang, Yu-Ting, Huang, Yen-Ling, Pan, Yu-Bin, Chao, Angel, Lai, Chyong-Huey, Lin, Gigin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003367/
https://www.ncbi.nlm.nih.gov/pubmed/33808691
http://dx.doi.org/10.3390/cancers13061406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003367/
https://www.ncbi.nlm.nih.gov/pubmed/33808691
http://dx.doi.org/10.3390/cancers13061406

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