**Author details**

The performance metrics of the proposed system is compared with the existing system "Automatic Computerized Diagnostic Tool for Down Syndrome Detection

The proposed system showed the better performance than the existing system terms of sensitivity and accuracy, but it showed low specificity than the existing

The newly designed system was able to clearly differentiate DS related fetus from the normal fetus based on EIF. It was producing very accurate results when operated on the fetal ultrasound images with a single EIF and multiple EIF. In future works, the soft markers like nuchal fold and femur length can be considered as an

This chapter presented a new idea "Ultrasonic Detection of Down Syndrome using Multiscale Quantiser with Convolutional Neural Network" to detect DS based on EIF in an ultrasonic automated method. The proposed system was intelligent enough to clearly distinguish DS causing EIF from the normal EIF. It attained better results in terms of accuracy, sensitivity, and specificity. In future works, this system can be added as a new feature in the ultrasound fetal scan. It can also serve as an alternate for the conventional DS diagnostics like amniocentesis, PUBS,

I feel proud and privileged to thank my guide Dr.A.R.Kavitha M.E., Ph.D. for her precious guidance and whole hearted support. I wish to express a sense of gratitude to my lovable English Teacher Mrs. Sucy George M.A., M.A., B.Ed for copy editing of this chapter. Last but not least I wish to dedicate this chapter to my family members (Late Simon – My Father, Mrs. Shanthi Simon - My Mother, Mrs. Gnana

alternate parameter instead of nasal bone hypoplasia in the training phase.

in Fetus" [2] is shown in **Figure 14**.

*Computational Optimization Techniques and Applications*

**5. Future research directions**

*Comparison with the state of art.*

system.

**Figure 14.**

**6. Conclusion**

and CVS.

**174**

**Acknowledgements**

Michael Dinesh Simon<sup>1</sup> \* and A.R. Kavitha<sup>2</sup>

1 Anna University, Chennai, India

2 Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India

\*Address all correspondence to: ermichaeldinesh@gmail.com

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