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United States Army Futures Command

United States

1 paper here22 citations across 1
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  • eess.IV1
ROR 0593xbv16OpenAlex

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most citedA deep learning model for burn depth classification using ultrasound imaging

22 citations

researchers with a paper here
  • Basiel Makled1 · h 7
  • Conner Parsey1 · h 3
  • Jack Norfleet1 · h 13
  • James K. Lukan1 · h 2
  • Kateryna Zelenova1 · h 1
  • Sangrock Lee1 · h 3
  • S. De1 · h 43
  • Tatiana Boyko1 · h 6
collaborating institutions
  • Rensselaer Polytechnic InstituteUS1 paper
  • United States Army Combat Capabilities Development CommandUS1 paper
  • University at Buffalo, State University of New YorkUS1 paper
Showing eess.IVShow all

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eess.IV2022★ 22 cited

A deep learning model for burn depth classification using ultrasound imaging

Sangrock Lee, Rahul, James Lukan +6

Identification of burn depth with sufficient accuracy is a challenging problem. This paper presents a deep convolutional neural network to classify burn depth based on altered tiss…

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