Predicting Lymph Node Metastasis Status from Primary Muscle-Invasive Bladder Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study

Predicting Lymph Node Metastasis Status from Primary Muscle-Invasive Bladder Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study

Background: Accurate prediction of lymph node metastasis (LNM) status in patients with muscle-invasive bladder cancer (MIBC) before radical cystectomy can guide the use of neoadjuvant chemotherapy and the extent of pelvic lymph node dissection. We aimed to develop and validate a weakly-supervised de...

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Bibliographic Details
Main Authors: Qingyuan Zheng, Jun Jian, Jingsong Wang, Kai Wang, Junjie Fan, Huazhen Xu, Xinmiao Ni, Song Yang, Jingping Yuan, Jiejun Wu, Panpan Jiao, Rui Yang, Zhiyuan Chen, Xiuheng Liu, Lei Wang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Cancers
Subjects:
muscle-invasive bladder cancer
lymph node metastasis
deep learning
whole slide image
new predictive biomarker
Online Access:https://www.mdpi.com/2072-6694/15/11/3000

Internet

https://www.mdpi.com/2072-6694/15/11/3000

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