Efficient fetal size classification combined with artificial neural network for estimation of fetal weight
Objectives: A novel analysis was undertaken to select a significant ultrasonographic parameter (USP) for classifying fetuses to support artificial neural network (ANN), and thus to enhance the accuracy of fetal weight estimation. Methods: In total, 2127 singletons were examined by prenatal ultrasoun...
Saved in:
Main Authors: | Yueh-Chin Cheng (Author), Gwo-Lang Yan (Author), Yu Hsien Chiu (Author), Fong-Ming Chang (Author), Chiung-Hsin Chang (Author), Kao-Chi Chung (Author) |
---|---|
Format: | Book |
Published: |
Elsevier,
2012-12-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using Akaike information criterion and minimum mean square error mode in compensating for ultrasonographic errors for estimation of fetal weight by new operators
by: Yueh-Chin Cheng, et al.
Published: (2013) -
Prenatal diagnosis of fetal omphalocele by ultrasound: A comparison of two centuries
by: Yu-Ling Liang, et al.
Published: (2013) -
Prenatal diagnosis of fetal multicystic dysplastic kidney in the era of three-dimensional ultrasound: 10-year experience
by: Pei-Yang Hsu, et al.
Published: (2012) -
Prenatal diagnosis of fetal gastroschisis using three-dimensional ultrasound: Comparison between the 20th and 21st centuries
by: Hsing-Fen Tsai, et al.
Published: (2013) -
Recurrent Fetal Anophthalmia Caused by retinoids acid gene 6 mutations: Correlation between prenatal ultrasonography, magnetic resonance imaging, and pathology
by: Chia-Jung Chiang, et al.
Published: (2022)