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Weakly- and Semi-Supervised Probabilistic Segmentation and
  Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better
  AI Understanding of Tissue Beneath Needles
v1v2 (latest)

Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles

BME Frontiers (BMEF), 2020
24 November 2020
A. Hung
Edward Chen
J. Galeotti
ArXiv (abs)PDFHTML

Papers citing "Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles"

1 / 1 papers shown
Ultrasound Confidence Maps of Intensity and Structure Based on Directed
  Acyclic Graphs and Artifact Models
Ultrasound Confidence Maps of Intensity and Structure Based on Directed Acyclic Graphs and Artifact ModelsIEEE International Symposium on Biomedical Imaging (ISBI), 2020
A. Hung
Wanwen Chen
J. Galeotti
222
5
0
24 Nov 2020
1
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