Nassim Bouteldja, Barbara M Klinkhammer, Roman D Bülow, Patrick Droste, Simon W Otten, Saskia Freifrau von Stillfried, Julia Moellmann, Susan M Sheehan, Ron Korstanje, Sylvia Menzel, Peter Bankhead, Matthias Mietsch, Charis Drummer, Michael Lehrke, Rafael Kramann, Jürgen Floege, Peter Boor, Dorit Merhof
BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with the animal models that are essential for understanding kidney disease pathophysiology. Precision medicine increases the demand for quantitative, unbiased, reproducible, and efficient histopathologic analyses, which will require novel high-throughput tools. A deep learning technique, the convolutional neural network, is increasingly applied in pathology because of its high performance in tasks like histology segmentation...
November 5, 2020: Journal of the American Society of Nephrology: JASN