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Replication Data for: Improving Objective Wound Assessment: "Fully-automated wound tissue segmentation using Deep Learning on mobile devices"
Replication Data for: Improving Objective Wound Assessment: "Fully-automated wound tissue segmentation using Deep Learning on mobile devices"
Mar 14, 2022
Ramirez Garcia Luna, Jose; Dhanesh Ramachandram; Robert DJ Fraser; Justin Allport, 2022, "Replication Data for: Improving Objective Wound Assessment: "Fully-automated wound tissue segmentation using Deep Learning on mobile devices"", https://doi.org/10.5683/SP3/8C4FDV, Borealis, V1, UNF:6:YBpTJQSUwmh5tSXAC1dt0Q== [fileUNF]
Background: The composition of tissue types present within a wound is a useful indicator of its healing progression and could be helpful in guiding its treatment. Additionally, this measure is clinically used in wound healing tools (e.g. BWAT) to assess risk and recommend treatme...
Replication Data for: Development and validation of an algorithm to predict the treatment modality of burn wounds using thermographic scans
Oct 5, 2020
Ramirez Garcia Luna, Jose, 2020, "Replication Data for: Development and validation of an algorithm to predict the treatment modality of burn wounds using thermographic scans", https://doi.org/10.5683/SP2/EBSE5I, Borealis, V1, UNF:6:a3MwA1ci1bJfHomHBEBzYQ== [fileUNF]
Replication Data for: Development and validation of an algorithm to predict the treatment modality of burn wounds using thermographic scans
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