Anatomical structure segmentation from early fetal ultrasound sequences using global pollination CAT swarm optimizer–based Chan–Vese model

The structure of an early fetal heart provides essential information for the diagnosis of fetus defects. Accurate segmentation of anatomical structure is a major challenging task because of the small size, low signal-to-noise ratio, and rapid movement of the ultrasound images. In recent years, activ...

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Bibliographic Details
Published in:	Medical & biological engineering & computing Vol. 57; no. 8; pp. 1763 - 1782
Main Authors:	Femina, M. A., Raajagopalan, S. P.
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2019 Springer Nature B.V
Subjects:	Adult Algorithms Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Boundaries Computer Applications Contours Energy conservation Female Fetal Heart - diagnostic imaging Fetuses Gestational Age Heuristic methods Human Physiology Humans Image Interpretation, Computer-Assisted - methods Image processing Image Processing, Computer-Assisted - methods Image segmentation Imaging Model accuracy Optimization Original Article Pollination Pregnancy Radiology Shape Ultrasonic imaging Ultrasonography, Prenatal - methods Ultrasound Congenital heart defect Global pollination Level set CAT swarm Chan–Vese Fetal heart Ultrasound
ISSN:	0140-0118, 1741-0444, 1741-0444
Online Access:	Get full text
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