信頼性の高い自動化システムに基づく子宮頸がんの予測と検出における高いテスト精度
Ch Venkata Anupama1, Dharmaiah Devarapalli1, Sk Hasane Ahammad1
1Department of CSE, Koneru Lakshmaiah Education Foundation, Guntur, 522502 India.
3 Biotech
|January 30, 2026
まとめ
本研究では、子宮頸がんの検出と子宮頸部タイプ分類のための自動化された深層学習フレームワークを紹介し、高い精度を達成しています。このAI主導のアプローチは、特にサービスが行き届いていない地域において、診断を改善するためのリソース効率の高いソリューションを提供します。
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