Name
Abstract | ||
|---|---|---|
Ultrasound diagnosis is routinely used in obstetrics and gynecology for fetal biometry, and owing to its time-consuming process, there has been a great demand for automatic estimation. However, the automated analysis of ultrasound images is complicated because they are patient specific, operator dependent, and machine specific. Among various types of fetal biometry, the accurate estimation of abdo... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JBHI.2017.2776116 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Ultrasonic imaging,Estimation,Feature extraction,Anatomical structure,Standards,Informatics | Computer vision,Pattern recognition,Abdominal circumference,Computer science,Convolutional neural network,Hough transform,Feature extraction,Artificial intelligence,Decision process,Ultrasonic imaging,Ultrasound image,Ultrasound | Journal |
Volume | Issue | ISSN |
22 | 5 | 2168-2194 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jaeseong Jang | 1 | 0 | 0.34 |
| Yejin Park | 2 | 1 | 0.71 |
| Bukweon Kim | 3 | 1 | 1.39 |
| Sung Min Lee | 4 | 19 | 1.11 |
| Ja-Young Kwon | 5 | 1 | 1.05 |
| Jin Keun Seo | 6 | 376 | 58.65 |