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20152021
most citedWhen Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care

27 citations · 48 across the 5 of their papers we have counts for

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Showing 2017Show all

1 paper · 1 filter

cs.CV2017★ 20 cited

A new take on measuring relative nutritional density: The feasibility of using a deep neural network to assess commercially-prepared pureed food concentrations

Kaylen J. Pfisterer, Robert Amelard, Audrey G. Chung +1

Dysphagia affects 590 million people worldwide and increases risk for malnutrition. Pureed food may reduce choking, however preparation differences impact nutrient density making q…