ジョン病の検出と研究のためのヒト病理画像データセット
Wael Hananeh1, Mohammad Fraiwan2
1Department of Veterinary Pathology and Public Health, Faculty of Veterinary Medicine, Jordan University of Science and Technology, P.O. Box 3030 Irbid 22110 Jordan.
Data in brief
|September 2, 2025
まとめ
この研究は,ジョーンズの最初の公開データセットを紹介しています.
科学分野:
- 獣医学病理学
- デジタル病理学
- 動物保健における機械学習
背景:
- ジョーン病 (paratuberculosis) は,Mycobacterium avium亜種パラチューバーキュロシス (MAP) によって引き起こされる反性の慢性腸感染症である.
- 正確な診断は制御に不可欠ですが,従来の組織病理学には,専門家の依存性と観察者間の変動性を含む制限があります.
- 自動診断ツールを開発するには,高品質で注釈された画像データが必要です.
研究 の 目的:
- ジョン病の ヒト病理学的画像の 新規のデータセットを提示します
- ジョン病の検出のためのコンピュータ支援診断と機械学習モデルの開発を容易にする.
- 獣医の病理学訓練のための教育リソースを提供すること.
主な方法:
- ジョーン病の陽性または陰性であることが確認された反動物から組織サンプルを採取する.
- 標準のヘマトキシリンとエオシン (H&E) 染色と高解像度デジタルスライドスキャン.
- 各画像の注釈と診断ラベルは,認定病理学者に確認されています.
主要な成果:
- ジョン病のヒト病理学画像の公開データセットが 入手可能になった.
- このデータセットは,病気の状況 (陽性/陰性) によって整理され,監督された機械学習を可能にします.
- このリソースは,デジタル病理学と自動診断システムの研究をサポートします.
結論:
- 紹介されたデータセットは,ジョン病の組織病理学に専念した最初のものです.
- このリソースは,自動化されたジョンの病気の検出と獣医教育の研究を加速します.
- このデータセットが利用できれば 診断の正確さと 病原体の管理が改善される見込みです
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