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

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;...

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Detalles Bibliográficos
Autores principales: Inoue, Kaiji, Hara, Yuki, Nagawa, Keita, Koyama, Masahiro, Shimizu, Hirokazu, Matsuura, Koichiro, Takahashi, Masao, Osawa, Iichiro, Inoue, Tsutomu, Okada, Hirokazu, Ishikawa, Masahiro, Kobayashi, Naoki, Kozawa, Eito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575938/
https://www.ncbi.nlm.nih.gov/pubmed/37833438
http://dx.doi.org/10.1038/s41598-023-44539-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575938/
https://www.ncbi.nlm.nih.gov/pubmed/37833438
http://dx.doi.org/10.1038/s41598-023-44539-z

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