Deep learning-based automated kidney and cyst segmentation of autosomal dominant polycystic kidney disease using single vs. multi-institutional data

This study aimed to investigate if a deep learning model trained with a single institution's data has comparable accuracy to that trained with multi-institutional data for segmenting kidney and cyst regions in magnetic resonance (MR) images of patients affected by autosomal dominant polycystic kidney disease (ADPKD).

Source: Clinical Imaging - December 11, 2023 Category: Radiology Authors: Emma K. Schmidt, Chetana Krishnan, Ezinwanne Onuoha, Adriana V. Gregory, Timothy L. Kline, Michal Mrug, Carlos Cardenas, Harrison Kim, Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) investigators Tags: Body Imaging Source Type: research