Automated image segmentation for cardiac septal defects based on contour region with convolutional neural networks: A preliminary study

Volume: 24, Pages: 100601 - 100601
Published: Jan 1, 2021
Abstract
Echocardiogram examination is important for diagnosing cardiac septal defects. With the development of AI-based technology, an echocardiogram examination previously performed manually by cardiologists can be done automatically. Automatic segmentation of cardiac septal defects can help a physician to make an initial diagnosis before referring a pediatric cardiologist for further treatment. In previous studies, automatic object segmentation using...
Paper Details
Title
Automated image segmentation for cardiac septal defects based on contour region with convolutional neural networks: A preliminary study
Published Date
Jan 1, 2021
Volume
24
Pages
100601 - 100601
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