Combining UNet 3+ and Transformer for Left Ventricle Segmentation via Signed Distance and Focal Loss

Combining UNet 3+ and Transformer for Left Ventricle Segmentation via Signed Distance and Focal Loss

Left ventricle (LV) segmentation of cardiac magnetic resonance (MR) images is essential for evaluating cardiac function parameters and diagnosing cardiovascular diseases (CVDs). Accurate LV segmentation remains a challenge because of the large differences in cardiac structures in different research...

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Bibliographic Details
Main Authors: Zhi Liu, Xuelin He, Yunhua Lu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
left ventricle segmentation
UNet 3+
encoder–decoder
transformer
magnetic resonance imaging
Online Access:https://www.mdpi.com/2076-3417/12/18/9208

Internet

https://www.mdpi.com/2076-3417/12/18/9208

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