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Updated: Feb 14, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

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サム・アダプターとビジョン・トランスフォーマーを使用した基礎モデル駆動の皮膚損傷セグメンテーションと分類

Faisal Binzagr1, Majed Hariri2

  • 1Department of Computer Science, Faculty of Computing and Information Technology-Rabigh, King Abdulaziz University Rabigh, Jeddah 21589, Saudi Arabia.

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

この研究は,セグメント・アニバーティモデル (SAM) やビジョン・トランスフォーマー (ViT) のような基礎モデルを使用して,皮膚がんの自動検知のための新しい枠組みを導入しています. この方法は,病変のセグメンテーションと分類の精度を向上させ,診断サポートを改善します.

キーワード:
皮膚顕微鏡画像分析による画像分析ファンデーションモデル ファンデーションモデルメラノーマ検出 メラノーマ検出セグメント 何でも モデル モデル皮膚がんの分類 皮膚がんの分類皮膚病変のセグメンテーション 皮膚病変のセグメンテーション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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