ECA-TFUnet: A U-shaped CNN-Transformer network with efficient channel attention for organ segmentation in anatomical sectional images of canines

ECA-TFUnet: A U-shaped CNN-Transformer network with efficient channel attention for organ segmentation in anatomical sectional images of canines

Automated organ segmentation in anatomical sectional images of canines is crucial for clinical applications and the study of sectional anatomy. The manual delineation of organ boundaries by experts is a time-consuming and laborious task. However, semi-automatic segmentation methods have shown low se...

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Bibliographic Details
Main Authors: Yunling Liu, Yaxiong Liu, Jingsong Li, Yaoxing Chen, Fengjuan Xu, Yifa Xu, Jing Cao, Yuntao Ma
Format: Article
Language:English
Published: AIMS Press 2023-10-01
Series:Mathematical Biosciences and Engineering
Subjects:
anatomical sectional images of canines
segmentation
transformer
efficient channel attention
unet network
transfer learning
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023827?viewType=HTML

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