Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/corr/abs-2011-11958
%A Hung, Alex Ling Yu
%A Chen, Edward
%A Galeotti, John M.
%D 2020
%J CoRR
%K dblp
%T Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles.
%U http://dblp.uni-trier.de/db/journals/corr/corr2011.html#abs-2011-11958
%V abs/2011.11958
@article{journals/corr/abs-2011-11958,
added-at = {2020-11-26T00:00:00.000+0100},
author = {Hung, Alex Ling Yu and Chen, Edward and Galeotti, John M.},
biburl = {https://www.bibsonomy.org/bibtex/23eb5fb696840910c1553da8a6f199214/dblp},
ee = {https://arxiv.org/abs/2011.11958},
interhash = {a4d6a89ab02d3d42d37efcce1baf922b},
intrahash = {3eb5fb696840910c1553da8a6f199214},
journal = {CoRR},
keywords = {dblp},
timestamp = {2020-11-27T11:35:35.000+0100},
title = {Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2011.html#abs-2011-11958},
volume = {abs/2011.11958},
year = 2020
}