Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach

Eiichiro Uchino, Kanata Suzuki, Noriaki Sato, Ryosuke Kojima, Yoshinori Tamada, Shusuke Hiragi, Hideki Yokoi, Nobuhiro Yugami, Sachiko Minamiguchi, Hironori Haga, Motoko Yanagita, Yasushi Okuno

Abstract: Highlights•Artificial intelligence models classified glomerular images of renal biopsy.•Seven major pathological findings were automatically classified by deep learning.•Majority decision among experts and our models can improve diagnostic performance.