Machine Learning Decision Support for Detecting Lipohypertrophy With Bedside Ultrasound: Proof-of-Concept Study

BACKGROUND: The most common dermatological complication of insulin therapy is lipohypertrophy. OBJECTIVE: As a proof of concept, we built and tested an automated model using a convolutional neural network (CNN) to detect the presence of lipohypertrophy in ultrasound images. METHODS: Ultrasound image...

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Detalles Bibliográficos
Autores principales: Bandari, Ela, Beuzen, Tomas, Habashy, Lara, Raza, Javairia, Yang, Xudong, Kapeluto, Jordanna, Meneilly, Graydon, Madden, Kenneth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123536/
https://www.ncbi.nlm.nih.gov/pubmed/35404833
http://dx.doi.org/10.2196/34830

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123536/
https://www.ncbi.nlm.nih.gov/pubmed/35404833
http://dx.doi.org/10.2196/34830

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