A Review on Techniques for Computer Aided Diagnosis of Soft Markers for Detection of Down Syndrome in Ultrasound Fetal Images
Jeba Shiney1, O. J. Amar Pratap Singh2 and Priestly Shan. B31Noorul Islam University, Kumarakoil, Thuckalay, India.
2Director(Administration), Noorul Islam University, Kumarakoil, Thuckalay, India
3Eranad Knowledge City, Manjeri, Malappuram, Kerala.
Corresponding Author E-mail: jebashiney@gmail.com
Abstract: In this paper, various algorithms and techniques, which aids in development of secondary observer systems for Downsyndrome detection in fetus of first and second trimester is being evaluated and presented. 50papers from 1982 to 2016 has been reviewed and the consolidated study is being presented. The parameters for comparison include Markers for Down Syndrome Detection, Algorithms, Sensitivity, Specificity and accuracy of these algorithms. Markers for study include Nasal Bone Length, Nuchal Translucency Thickness, and Naso Frontal Angle. These markers have been utilized by researchers for design of Secondary Observer systems and have achieved various degrees of accuracies.
Keywords: Accuracy; Down Syndrome; Markers; Nasal Bone Length; Nuchal TranslucencySecondary Observer Systems; Specificity; Sensitivity; Back to TOC