End-to-end interstitial fibrosis assessment of kidney biopsies with a machine learning-based model.
Zhi-Yong LiuChi-Hung LinHsiang-Sheng WangMei-Chin WenWei-Chou LinShun-Chen HuangKun-Hua TuChang-Fu KuoTai-Di ChenPublished in: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association (2022)
This study demonstrated that a trained machine learning-based model can faithfully simulate the whole process of interstitial fibrosis assessment, which traditionally can only be carried out by renal pathologists. Our data suggested that such a model may provide more reliable results, thus enabling precision medicine.