Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks

Adam Pantanowitz; Benjamin Rosman; David M Rubin; Emmanuel Cohen; Nigel Crowther; Philippe Gradidge; Vered Aharonson

Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks

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arxiv 1908.11694 v1 pith:WB2PVO6N submitted 2019-08-29 cs.LG cs.CVstat.ML

Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks

Adam Pantanowitz , Emmanuel Cohen , Philippe Gradidge , Nigel Crowther , Vered Aharonson , Benjamin Rosman , David M Rubin This is my paper

classification cs.LG cs.CVstat.ML

keywords bodyindexmassphotographsconvolutionaldatanetworksneural

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Obesity is an important concern in public health, and Body Mass Index is one of the useful (and proliferant) measures. We use Convolutional Neural Networks to determine Body Mass Index from photographs in a study with 161 participants. Low data, a common problem in medicine, is addressed by reducing the information in the photographs by generating silhouette images. Results present with high correlation when tested on unseen data.

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