IUGR detection by ultrasonographic examinations using neural networks
IEEE Engineering in Medicine and Biology Magazine, cilt.16, sa.3, ss.55-58, 1997 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 16 Sayı: 3
- Basım Tarihi: 1997
- Doi Numarası: 10.1109/51.585518
- Dergi Adı: IEEE Engineering in Medicine and Biology Magazine
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.55-58
- Boğaziçi Üniversitesi Adresli: Evet
Özet
A study was conducted to determine the usefulness of ultrasonography with feedforward neural network (NN) in intrauterine growth retardation (IUGR) detection. Multiple parameters such as head circumference (HC), abdominal circumference (AC) and HC/AC are better than the prediction with a single parameter. Multiple examinations give better insight for IUGR detection than does single examination. NN is helpful in correlating many variables that if taken alone, may not be significant but as a group provide additional information to make the best decision.