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Updated: Jul 7, 2026

Isolation and Characterization of Tumor-initiating Cells from Sarcoma Patient-derived Xenografts
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サルコマの診断のための説明可能な放射学に基づく分類モデル

Simona Correra1,2, Arnar Evgení Gunnarsson2, Marco Recenti2

  • 1Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, 86100 Campobasso, Italy.

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

この研究は,MRI放射学を用いてサルコマ腫瘍を分類するための説明可能なAIフレームワークを提示しています. このモデルは腫瘍を正確に識別し 早期に個別化された癌の診断と治療に役立ちます

キーワード:
分類する説明性について機械学習放射線学サルコマの診断

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