Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. Marzola, F.; van Alfen, N.; Salvi, M.; Santi, B. D.; Doorduin, J.; and Meiburger, K. M. In EMBC, pages 2113-2116, 2020. IEEE.
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. [link]Link  Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. [link]Paper  bibtex   
@inproceedings{conf/embc/MarzolaASSDM20,
  added-at = {2020-09-21T00:00:00.000+0200},
  author = {Marzola, Francesco and van Alfen, Nens and Salvi, Massimo and Santi, Bruno De and Doorduin, Jonne and Meiburger, Kristen M.},
  biburl = {https://www.bibsonomy.org/bibtex/2916a4de94fae7aced6ea4a695b0f873e/dblp},
  booktitle = {EMBC},
  crossref = {conf/embc/2020},
  ee = {https://doi.org/10.1109/EMBC44109.2020.9176343},
  interhash = {fc6c5ded8dc0af8654ab046ea3b373b4},
  intrahash = {916a4de94fae7aced6ea4a695b0f873e},
  isbn = {978-1-7281-1990-8},
  keywords = {dblp},
  pages = {2113-2116},
  publisher = {IEEE},
  timestamp = {2020-09-22T11:35:21.000+0200},
  title = {Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks.},
  url = {http://dblp.uni-trier.de/db/conf/embc/embc2020.html#MarzolaASSDM20},
  year = 2020
}
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