Head circumference measurement with deep learning approach based on multi-scale ultrasound images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13107-4.pdf
Reference35 articles.
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2. Cerrolaza JJ et al (2017) Fetal skull segmentation in 3D ultrasound via structured geodesic random forest. In: Fetal, infant and ophthalmic medical image analysis. Springer, Berlin, pp 25–32
3. Cerrolaza JJ et al (2018) Deep learning with ultrasound physics for fetal skull segmentation. Biomedical Imaging International Symposium 2018. IEEE
4. Cerrolaza JJ et al (2018) 3d fetal skull reconstruction from 2dus via deep conditional generative networks. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Berlin
5. Chaurasia A, Culurciello E (2017) Linknet: Exploiting encoder representations for efficient semantic segmentation. Visual Communications and Image Processing (VCIP)
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