Learnable interpolation and extrapolation network for fuzzy pulmonary lobe segmentation

Learnable interpolation and extrapolation network for fuzzy pulmonary lobe segmentation

Abstract Pulmonary lobe segmentation is an important prerequisite for accurately quantifying pulmonary damage in many pulmonary diseases and planning treatment. However, due to the incomplete lobar structures and morphological changes caused by diseases, the lobe segmentation still encounters great...

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Bibliographic Details
Main Authors: Xiaochen Fan, Xin Xu, Jianxing Feng, Haixia Huang, Xiang Zuo, Guohou Xu, Guanghui Ma, Bin Chen, Jianbin Wu, Yinhua Huang, Yang Luo
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:IET Image Processing
Subjects:
biomedical imaging
image segmentation
interpolation
learning (artificial intelligence)
selected
Online Access:https://doi.org/10.1049/ipr2.12859

Internet

https://doi.org/10.1049/ipr2.12859

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