Prediction Model of Residual Neural Network for Pathological Confirmed Lymph Node Metastasis of Ovarian Cancer

PURPOSE: We want to develop a model for predicting lymph node status based on positron emission computed tomography (PET) images of untreated ovarian cancer patients. We use the feature map formed by wavelet transform and the parameters obtained by image segmentation to build the model. The model is...

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Detalles Bibliográficos
Autores principales: Yao, Huanchun, Zhang, Xinglong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578811/
https://www.ncbi.nlm.nih.gov/pubmed/36267845
http://dx.doi.org/10.1155/2022/9646846

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578811/
https://www.ncbi.nlm.nih.gov/pubmed/36267845
http://dx.doi.org/10.1155/2022/9646846

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