Evaluating Classification Consistency of Oral Lesion Images for Use in an Image Classification Teaching Tool

A web-based image classification tool (DiLearn) was developed to facilitate active learning in the oral health profession. Students engage with oral lesion images using swipe gestures to classify each image into pre-determined categories (e.g., left for refer and right for no intervention). To assem...

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Detalles Bibliográficos
Autores principales: Shen, Yuxin, Yoon, Minn N., Ortiz, Silvia, Friesen, Reid, Lai, Hollis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392708/
https://www.ncbi.nlm.nih.gov/pubmed/34436006
http://dx.doi.org/10.3390/dj9080094

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392708/
https://www.ncbi.nlm.nih.gov/pubmed/34436006
http://dx.doi.org/10.3390/dj9080094

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