Automated segmentation of liver segment on portal venous phase MR images using a 3D convolutional neural network

OBJECTIVE: We aim to develop and validate a three-dimensional convolutional neural network (3D-CNN) model for automatic liver segment segmentation on MRI images. METHODS: This retrospective study evaluated an automated method using a deep neural network that was trained, validated, and tested with 3...

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Detalles Bibliográficos
Autores principales: Han, Xinjun, Wu, Xinru, Wang, Shuhui, Xu, Lixue, Xu, Hui, Zheng, Dandan, Yu, Niange, Hong, Yanjie, Yu, Zhixuan, Yang, Dawei, Yang, Zhenghan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873293/
https://www.ncbi.nlm.nih.gov/pubmed/35201517
http://dx.doi.org/10.1186/s13244-022-01163-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873293/
https://www.ncbi.nlm.nih.gov/pubmed/35201517
http://dx.doi.org/10.1186/s13244-022-01163-1

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