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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
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 |
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