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Updated: Feb 13, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

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スマートフォンの顕微鏡検査とグーグル・ネット・モデルによる腎臓石の構成要素の自動分類

Yuxuan Du1, Yanbing Liang2, Ping Li3

  • 1Guangzhou Medical University, Xinzao, Panyu District, Guangzhou, 511436, P.R. China.

BMC urology
|February 12, 2026
PubMed
まとめ

この研究は,腎臓石の組成を分類するためのスマートフォンベースのシステムを開発し,85.7%の精度を達成しました. この技術は,特に資源の限られた環境では,石分析のための迅速で費用対効果の高い診断ツールを提供します.

キーワード:
ディープラーニングとは,ディープラーニングです.グーグル・ネットはグーグル・ネットです.腎石の分類 腎石の分類顕微鏡画像分析による画像解析スマートフォンによる顕微鏡検査

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