The utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network

The utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network

Abstract We developed a 3D convolutional neural network (CNN)-based automatic kidney segmentation method for patients with chronic kidney disease (CKD) using MRI Dixon-based T1-weighted in-phase (IP)/opposed-phase (OP)/water-only (WO) images. The dataset comprised 100 participants with renal dysfunc...

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Bibliographic Details
Main Authors: Kaiji Inoue, Yuki Hara, Keita Nagawa, Masahiro Koyama, Hirokazu Shimizu, Koichiro Matsuura, Masao Takahashi, Iichiro Osawa, Tsutomu Inoue, Hirokazu Okada, Masahiro Ishikawa, Naoki Kobayashi, Eito Kozawa
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-44539-z

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https://doi.org/10.1038/s41598-023-44539-z

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