A non-supervised approach to locate and to measure the nuchal translucency by means of wavelet analysis and neural networks

Risultato della ricerca: Conference contribution

1 Citazioni (Scopus)

Abstract

Ultrasound imaging is a well known noninvasive way to evaluate various diseases during the prenatal age. In particular, the thickness measure of the nuchal transucency is strictly correlated with pathologies like trisomy 13, 18 and 21. For a correct investigation, the methodology needs mid-sagittal sections and the proposed approach is based on wavelet analysis and neural network classifiers to locate components useful to identify mid-sagittal planes. To evaluate the performance and the robustness of the methodology, real clinical ultrasound images were considered, obtaining an average error of at most 0.3 millimeters in 97.4% of the cases
Lingua originaleEnglish
Titolo della pubblicazione ospiteICAT 2017 - 26th International Conference on Information, Communication and Automation Technologies, Proceedings
Pagine1-7
Numero di pagine7
Stato di pubblicazionePublished - 2017

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1702???
  • ???subjectarea.asjc.1700.1705???
  • ???subjectarea.asjc.1700.1710???

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