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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Bibliographic Details
Main Authors: Yuxin Shen (Author), Minn N. Yoon (Author), Silvia Ortiz (Author), Reid Friesen (Author), Hollis Lai (Author)
Format: Book
Published: MDPI AG, 2021-08-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
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