Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network

Segmentation of normal organs is a critical and time-consuming process in radiotherapy. Auto-segmentation of abdominal organs has been made possible by the advent of the convolutional neural network. We utilized the U-Net, a 3D-patch-based convolutional neural network, and added graph-cut algorithm-...

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Detalles Bibliográficos
Autores principales: Kim, Hojin, Jung, Jinhong, Kim, Jieun, Cho, Byungchul, Kwak, Jungwon, Jang, Jeong Yun, Lee, Sang-wook, Lee, June-Goo, Yoon, Sang Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148331/
https://www.ncbi.nlm.nih.gov/pubmed/32277135
http://dx.doi.org/10.1038/s41598-020-63285-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148331/
https://www.ncbi.nlm.nih.gov/pubmed/32277135
http://dx.doi.org/10.1038/s41598-020-63285-0

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