Integrated image and location analysis for wound classification: a deep learning approach.

Patel, Yash; Shah, Tirth; Dhar, Mrinal Kanti; Zhang, Taiyu; Niezgoda, Jeffrey; Gopalakrishnan, Sandeep; Yu, Zeyun

Patel, Yash; Shah, Tirth; Dhar, Mrinal Kanti; Zhang, Taiyu; Niezgoda, Jeffrey; Gopalakrishnan, Sandeep; Yu, Zeyun.

Afiliação

Patel Y; Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Shah T; Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Dhar MK; Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Zhang T; Department of Computer Science, 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, USA.
Yu Z; Department of Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA. yuz@uwm.edu.

Sci Rep ; 14(1): 7043, 2024 03 25.

Article em En | MEDLINE | ID: mdl-38528003

Assuntos

Lesões Acidentais; Aprendizado Profundo; Neoplasias de Células Escamosas; Humanos; Benchmarking; Redes Neurais de Computação

Palavras-chave

Body map; Combined image-location analysis; Convolutional neural networks; Deep learning; Multi-modal wound image classification; Transfer learning; Wound location Information

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias de Células Escamosas / Aprendizado Profundo / Lesões Acidentais Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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