Automated Prediction of Photographic Wound Assessment Tool in Chronic Wound Images.

Authors:
Curti N; Merli Y; Zengarini C; Starace M; Rapparini L and 7 more

Journal:
J Med Syst

Publication Year: 2024

DOI:
10.1007/s10916-023-02029-9

PMCID:
PMC10791717

PMID:
38227131

Journal Information

Full Title: J Med Syst

Abbreviation: J Med Syst

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Medical Informatics

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Evidence found in paper:

"the pre-trained model for image segmentation is available in the repository deepskin ( https://github com/nico-curti/deepskin ).; the regression model used for the pwat estimation is available in the repository deepskin ( https://github com/nico-curti/deepskin )."

Evidence found in paper:

"Declarations Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

Evidence found in paper:

"Funding Open access funding provided by Alma Mater Studiorum - Università di Bologna within the CRUI-CARE Agreement. The authors received no specific funding for this work."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025