Integration of clinicopathologic identification and deep transferrable image feature representation improves predictions of lymph node metastasis in prostate cancer

BACKGROUND: Accurate identification of pelvic lymph node metastasis (PLNM) in patients with prostate cancer (PCa) is crucial for determining appropriate treatment options. Here, we built a PLNM-Risk calculator to obtain a precisely informed decision about whether to perform extended pelvic lymph nod...

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Detalles Bibliográficos
Autores principales: Hou, Ying, Bao, Jie, Song, Yang, Bao, Mei-Ling, Jiang, Ke-Wen, Zhang, Jing, Yang, Guang, Hu, Chun-Hong, Shi, Hai-Bin, Wang, Xi-Ming, Zhang, Yu-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167242/
https://www.ncbi.nlm.nih.gov/pubmed/34049247
http://dx.doi.org/10.1016/j.ebiom.2021.103395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167242/
https://www.ncbi.nlm.nih.gov/pubmed/34049247
http://dx.doi.org/10.1016/j.ebiom.2021.103395

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