Fetal Brain Abnormality Classification from MRI Images of Different Gestational Age
Magnetic resonance imaging (MRI) is a common imaging technique used extensively to study human brain activities. Recently, it has been used for scanning the fetal brain. Amongst 1000 pregnant women, 3 of them have fetuses with brain abnormality. Hence, the primary detection and classification are im...
Main Authors: | Omneya Attallah, Maha A. Sharkas, Heba Gadelkarim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Brain Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3425/9/9/231 |
Similar Items
-
Isolated Fetal Pyelectasis and Chromosomal Abnormalities
by: Cüneyt Eftal Taner, et al.
Published: (2007-12-01) -
Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
by: Maha Sharkas, et al.
Published: (2024-03-01) -
Deep Learning Techniques for Automatic Detection of Embryonic Neurodevelopmental Disorders
by: Omneya Attallah, et al.
Published: (2020-01-01) -
Fetal MRI Analysis of Corpus Callosal Abnormalities: Classification, and Associated Anomalies
by: Kranthi K. Marathu, et al.
Published: (2024-02-01) -
Association of gestational age with the option of pregnancy termination for fetal abnormalities incompatible with neonatal survival
by: Flavia Westphal, et al.