Predicting Lymph Node Metastasis Status from Primary Muscle-Invasive Bladder Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study.
Qingyuan ZhengJun JianJingsong WangKai WangJunjie FanHuazhen XuXinmiao NiSong YangJingping YuanJiejun WuPanpan JiaoRui YangZhiyuan ChenXiuheng LiuLei WangPublished in: Cancers (2023)
Our proposed weakly-supervised deep learning model can predict the LNM status of MIBC patients from routine WSIs, demonstrating decent generalization performance and holding promise for clinical implementation.
Keyphrases
- deep learning
- lymph node metastasis
- muscle invasive bladder cancer
- end stage renal disease
- machine learning
- chronic kidney disease
- ejection fraction
- newly diagnosed
- artificial intelligence
- healthcare
- primary care
- prognostic factors
- papillary thyroid
- convolutional neural network
- peritoneal dialysis
- clinical practice
- quality improvement
- patient reported outcomes