Artificial intelligence assists identification and pathologic classification of glomerular lesions in patients with diabetic nephropathy.
Qunjuan LeiXiaoshuai HouXumeng LiuDongmei LiangYun FanFeng XuShaoshan LiangDandan LiangJing YangGuotong XieZhihong LiuCaihong ZengPublished in: Journal of translational medicine (2024)
Our CNN-based model is promising in assisting the identification and pathologic classification of glomerular lesions in DN patients.
Keyphrases
- diabetic nephropathy
- artificial intelligence
- machine learning
- deep learning
- end stage renal disease
- big data
- neoadjuvant chemotherapy
- ejection fraction
- newly diagnosed
- chronic kidney disease
- convolutional neural network
- prognostic factors
- locally advanced
- peritoneal dialysis
- squamous cell carcinoma
- patient reported outcomes
- bioinformatics analysis
- radiation therapy
- lymph node