Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-47157-0_24
Reference14 articles.
1. Salomon, L., et al.: ISUOG practice guidelines: performance of first-trimester fetal ultrasound scan. Ultrasound Obstet. Gynecol. 41(1), 102–113 (2013)
2. Abu-Rustum, R.S., Daou, L., Abu-Rustum, S.E.: Role of first-trimester sonography in the diagnosis of aneuploidy and structural fetal anomalies. J. Ultrasound Med. 29(10), 1445–1452 (2010)
3. Bartlett, L.A., et al.: Risk factors for legal induced abortion–related mortality in the United States. Obstet. Gynecol. 103(4), 729–737 (2004)
4. Dyson, R., et al.: Three-dimensional ultrasound in the evaluation of fetal anomalies. Ultrasound Obstet. Gynecol. 16(4), 321–328 (2000)
5. Chen, H., et al.: Standard plane localization in fetal ultrasound via domain transferred deep neural networks. IEEE J. Biomed. Health Inform. 19(5), 1627–1636 (2015)
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