Zukünftige Bildanalyse mit Hilfe automatisierter Algorithmen
Author:
Publisher
Springer Science and Business Media LLC
Subject
Obstetrics and Gynaecology
Link
http://link.springer.com/content/pdf/10.1007/s00129-020-04563-w.pdf
Reference66 articles.
1. Abdelhafiz D, Yang C, Ammar R, Nabavi S (2019) Deep convolutional neural networks for mammography: advances, challenges and applications. BMC Bioinform 20(Suppl 11):281
2. Abele H, Hoopmann M, Wright D, Hoffmann-Poell B, Huettelmaier M, Pintoffl K, Wallwiener D, Kagan KO (2010) Intra- and interoperator reliability of manual and semi-automated measurement of fetal nuchal translucency by sonographers with different levels of experience. Ultrasound Obstet Gynecol 36:417–422
3. Anquez J, Angelini ED, Grangé G, Bloch I (2013) Automatic segmentation of antenatal 3‑D ultrasound images. IEEE Trans Biomed Eng 60:1388–1400. https://doi.org/10.1109/TBME.2012.2237400
4. Arefan D, Mohamed AA, Berg WA, Zuley ML, Sumkin JH, Wu S (2019) Deep learning modeling using normal mammograms for predicting breast cancer risk. Med Phys. https://doi.org/10.1002/mp.13886
5. Baumgartner CF, Kamnitsas K, Matthew J, Fletcher TP, Smith S, Koch LM, Kainz B, Rueckert D (2017) SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound. IEEE Trans Med Imaging 36:2204–2215
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