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A Deep Learning Approach to Automatic Gingivitis Screening based Onclassification and Localization in RGB Photos

2020-12-07

Abstract excerpt

Routine dental visit is the most common approach to detect the gingivitis. However, such diagnosis can sometimes be unavailable due to the limited medical resources in certain areas and costly for low-income populations. To increase the availability, this study proposes to screen the existence of gingivitis and its irritants, i.e., dental calculus and soft deposits, from oral photos with a novel Multi-Task Learnin...

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Literature Corpus work
1ec3060b-318b-5832-bc16-c7bbd0eb2c42
DOI
10.21203/rs.3.rs-117989/v1
Open publication

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A Deep Learning Approach to Automatic Gingivitis Screening based Onclassification and Localization in RGB PhotosDOI 10.21203/rs.3.rs-117989/v1
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