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Fully automatic wound segmentation with deep convolutional neural networks.
Wang, Chuanbo; Anisuzzaman, D M; Williamson, Victor; Dhar, Mrinal Kanti; Rostami, Behrouz; Niezgoda, Jeffrey; Gopalakrishnan, Sandeep; Yu, Zeyun.
Affiliation
  • Wang C; Big Data Analytics and Visualization Laboratory, Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
  • Anisuzzaman DM; Big Data Analytics and Visualization Laboratory, Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
  • Williamson V; Big Data Analytics and Visualization Laboratory, Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
  • Dhar MK; Big Data Analytics and Visualization Laboratory, Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
  • Rostami B; Department of Electrical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
  • Niezgoda J; Advancing the Zenith of Healthcare (AZH) Wound and Vascular Center, Milwaukee, WI, USA.
  • Gopalakrishnan S; College of Nursing, University of Wisconsin Milwaukee, Milwaukee, WI, 53211, USA. sandeep@uwm.edu.
  • Yu Z; Big Data Analytics and Visualization Laboratory, Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA. yuz@uwm.edu.
Sci Rep ; 10(1): 21897, 2020 12 14.
Article in En | MEDLINE | ID: mdl-33318503
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wound Healing / Wounds and Injuries / Algorithms / Image Processing, Computer-Assisted / Neural Networks, Computer Type of study: Guideline Limits: Humans Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Wound Healing / Wounds and Injuries / Algorithms / Image Processing, Computer-Assisted / Neural Networks, Computer Type of study: Guideline Limits: Humans Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: Country of publication: