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Updated: Sep 9, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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超音波画像で甲状腺結節の評価を強化するために,カリキュラム学習と弱く監督された注意を組み合わせる

Chadaporn Keatmanee1, Dittapong Songsaeng2, Songphon Klabwong3

  • 1Department of Computer Science, Faculty of Science, Ramkhamhaeng University, Bangkok, Thailand.

Quantitative imaging in medicine and surgery
|September 2, 2025
PubMed
まとめ

カリキュラムの学習は 甲状腺結節の分類の深層学習を高め, 良性結節と悪性結節の区別の精度を向上させます. このAIアプローチは 放射線科医を早期に癌を 発見するのに役立ちます

キーワード:
カリキュラム学習ディープラーニング甲状腺の結節の評価超音波画像

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