Artificial neural networks for non-invasive chromosomal abnormality screening of fetuses

A large number of different neural network structures have been constructed, trained and tested to a large data base of pregnant women characteristics, aiming at generating a classifier-predictor for the presence of chromosomal abnormalities in fetuses, namely the Trisomy 21 (Down syndrome), Trisomy...

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Bibliographic Details
Main Authors: Neocleous, C K, Nicolaides, K H, Neokleous, K C, Schizas, C N
Format: Conference Proceeding
Language:English
Subjects:
Medical diagnostic imaging
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Online Access:Request full text
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Summary:A large number of different neural network structures have been constructed, trained and tested to a large data base of pregnant women characteristics, aiming at generating a classifier-predictor for the presence of chromosomal abnormalities in fetuses, namely the Trisomy 21 (Down syndrome), Trisomy 18 (Edwards syndrome), Trisomy 13 (Patau syndrome) and the Turner syndrome.
ISSN:2161-4393
2161-4407
DOI:10.1109/IJCNN.2010.5596357