Feasibility of intra-operative image guidance in burn excision surgery with multispectral imaging and deep learning.

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Bibliographic Details
Title: Feasibility of intra-operative image guidance in burn excision surgery with multispectral imaging and deep learning.
Authors: Yu S; Spectral MD, Inc., Dallas, TX, USA., Dwight J; Spectral MD, Inc., Dallas, TX, USA., Siska RC; Wake Forest University School of Medicine, Plastic and Reconstructive Surgery, Winston-Salem, NC, USA., Burkart H; Wake Forest University School of Medicine, Pathology - Comparative Medicine, Winston-Salem, NC, USA., Quan P; Spectral MD, Inc., Dallas, TX, USA., Yi F; Spectral MD, Inc., Dallas, TX, USA., Du S; Spectral MD, Inc., Dallas, TX, USA., Daoud Y; Spectral MD, Inc., Dallas, TX, USA., Plant K; Spectral MD, Inc., Dallas, TX, USA., Criscitiello A; Wake Forest University School of Medicine, Winston-Salem, NC, USA., Molnar J; Wake Forest University School of Medicine, Plastic and Reconstructive Surgery, Winston-Salem, NC, USA., Thatcher JE; Spectral MD, Inc., Dallas, TX, USA. Electronic address: Thatcher@spectralmd.com.
Source: Burns : journal of the International Society for Burn Injuries [Burns] 2024 Feb; Vol. 50 (1), pp. 115-122. Date of Electronic Publication: 2023 Jul 26.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8913178 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1409 (Electronic) Linking ISSN: 03054179 NLM ISO Abbreviation: Burns Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-1409
DOI:10.1016/j.burns.2023.07.005