Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information

Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information

Image segmentation is the pixel-by-pixel detection of objects, which is the most challenging but informative in the fundamental tasks of machine learning including image classification and object detection. Pixel-by-pixel segmentation is required to apply machine learning to support fetal cardiac ul...

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Bibliographic Details
Main Authors: Ai Dozen, Masaaki Komatsu, Akira Sakai, Reina Komatsu, Kanto Shozu, Hidenori Machino, Suguru Yasutomi, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Ryu Matsuoka, Daisuke Aoki, Akihiko Sekizawa, Ryuji Hamamoto
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Biomolecules
Subjects:
congenital heart disease
fetal cardiac ultrasound video
deep learning
segmentation
ventricular septum
Online Access:https://www.mdpi.com/2218-273X/10/11/1526

Internet

https://www.mdpi.com/2218-273X/10/11/1526

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