新生児における超音波画像を用いた自動体組成予測のための深層学習アプローチの開発
Keshi He1, Y I Li2, Hayoung Cho1
1Department of Engineering, Boston College, Chestnut Hill, MA 02446, USA.
まとめ
本研究では、超音波画像を用いた深層学習法を開発し、脂肪量と除脂肪量を含む乳児の体組成を自動予測した。新しいプロトコルは、早産児の栄養失調評価に有望である。
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