Neonatal Jaundice Detection System
Yazarlar (4)
Fırat Hardalaç Gazi Üniversitesi, Türkiye
Doç. Dr. Ali Berkan URAL Kafkas Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | JOURNAL OF MEDICAL SYSTEMS (Q1) | ||
| Dergi ISSN | 0148-5598 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 07-2016 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 26-05-2016 |
| Cilt / Sayı / Sayfa | 40 / 7 / 1–11 | DOI | 10.1007/s10916-016-0523-4 |
| Makale Linki | https://link.springer.com/article/10.1007/s10916-016-0523-4 | ||
| Özet |
| Neonatal jaundice is a common condition that occurs in newborn infants in the first week of life. Today, techniques used for detection are required blood samples and other clinical testing with special equipment. The aim of this study is creating a non-invasive system to control and to detect the jaundice periodically and helping doctors for early diagnosis. In this work, first, a patient group which is consisted from jaundiced babies and a control group which is consisted from healthy babies are prepared, then between 24 and 48 h after birth, 40 jaundiced and 40 healthy newborns are chosen. Second, advanced image processing techniques are used on the images which are taken with a standard smartphone and the color calibration card. Segmentation, pixel similarity and white balancing methods are used as image processing techniques and RGB values and pixels’ important information are obtained exactly. Third … |
| Anahtar Kelimeler |
| Neonatal jaundice | Bilirubin | Image processing | Image segmentation | Machine learning regressions |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 46 |
| Google Scholar | 102 |