関連する実験動画

Updated: Sep 9, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

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YOLOv11の強化により,大核の注意と多層の融合により,X線写真での小規模および多層の骨腫瘍の正確な検出が可能となる

Sihan Chen1, Youcheng Peng1, Yingxuan Liu2

  • 1Sydney Smart Technology College, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.

Diagnostics (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

新しいディープラーニングモデルである YOLOv11-MTB は,X線画像での原発性骨腫瘍の検出を大幅に改善しています. この高度なAIは 小さい傷や複数の傷を特定する上で高い精度を示し 早期診断に役立ちます

キーワード:
レントゲン写真YOLOv11 について主要な骨腫瘍小物検知

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