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

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
Source :
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

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 dysfunction (RD; eGFR

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.1506280d16a4d268fbcbe91159ec0f2
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-023-44539-z