Segmentation of fetal skulls using ellipse fitting and active appearance models
Küçük Resim Yok
Tarih
2012
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, we use ultrasound (US) imaging modality frequently employed in prenatal diagnosis and axial skull images used primarily in the examination of fetal neural tubes and work on the segmentation of skull (and brain) structures. The segmentation performance of the mentioned structures is vital in that, applications such as automatic diagnosis systems can provide better feature extraction and classification performance with the aid of such a preprocessing. Our approach works with the principles of coarsely localizing the skull and brain structures present in US images acquired in transverse sections of fetal skulls using model (ellipse) fitting and successively obtaining more accurate segmentation with Active Appearance Models, which is a learning-based segmentation algorithm. © 2012 IEEE.
Açıklama
2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786
Anahtar Kelimeler
Active Appearance Models; Automatic Diagnosis; Brain Structure; Ellipse Fitting; Feature Extraction And Classification; Learning-Based Segmentation; Prenatal Diagnosis; Segmentation Performance; Transverse Section; Ultrasound Imaging; Diagnosis; Feature Extraction; Signal Processing; Image Segmentation
Kaynak
2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
