Recurrence prediction in clear cell renal cell carcinoma using machine learning of quantitative nuclear features

The recurrence of non-metastatic renal cell carcinoma (RCC) may occur early or late after surgery. This study aimed to develop a recurrence prediction machine learning model based on quantitative nuclear morphologic features of clear cell RCC (ccRCC). We investigated 131 ccRCC patients who underwent...

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Detalles Bibliográficos
Autores principales: Matsubara, Shuya, Saito, Akira, Tokuyama, Naoto, Muraoka, Ryu, Hashimoto, Takeshi, Satake, Naoya, Nagao, Toshitaka, Kuroda, Masahiko, Ohno, Yoshio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328910/
https://www.ncbi.nlm.nih.gov/pubmed/37419897
http://dx.doi.org/10.1038/s41598-023-38097-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328910/
https://www.ncbi.nlm.nih.gov/pubmed/37419897
http://dx.doi.org/10.1038/s41598-023-38097-7

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