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Updated: Feb 14, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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トランスフォーマーベースの基礎学習は,頑丈でデータ効率の良い皮膚疾患イメージングのための基礎学習です

Inzamam Mashood Nasir1, Hend Alshaya2, Sara Tehsin3

  • 1Human-Environment-Technology (HET) Systems Centre, Mykolas Romeris University, 08303 Vilnius, Lithuania.

Diagnostics (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

新しいトランスフォーマーベースのファンデーションモデルは,自動化された皮膚顕微鏡病変の分類を改善します. この皮膚科特有のアプローチは,ラベル付きのデータが限られている場合でも,精度と堅実性を高め,主要な臨床的課題に取り組んでいます.

キーワード:
クロスデータセットの汎用化皮膚顕微鏡傷害画像検査デルモスコピーは,ファンデーションモデルのモデルです.医学画像分析 医学画像分析自主指導による学習ビジョントランスフォーマー ビジョントランスフォーマー

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