Segmentation atrioventricular septal defect by using convolutional neural networks based on U-NET architecture

Volume: 10, Issue: 3, Pages: 553 - 553
Published: Sep 1, 2021
Abstract
Congenital heart disease often occurs, especially in infants and fetuses. Fetal image is one of the issues that can be related to the segmentation process. The fetal heart is an important indicator in the process of structural segmentation and functional assessment of congenital heart disease. This study is very challenging due to the fetal heart has a relatively unclear structural anatomical appearance, especially in the artifacts in ultrasound...
Paper Details
Title
Segmentation atrioventricular septal defect by using convolutional neural networks based on U-NET architecture
Published Date
Sep 1, 2021
Volume
10
Issue
3
Pages
553 - 553
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