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Updated: Sep 9, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

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StaDis: 計算病理学における分布外データの検出までの安定距離

Di Zhang1, Jiusong Ge1, Jiashuai Liu1

  • 1School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China; Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an Jiaotong University, Xi'an, 710049, China.

Medical image analysis
|August 31, 2025
PubMed
まとめ

計算型病理学モデルは,信頼性の高い臨床使用のために,分布外 (OOD) の検出を必要とする. 新しいベンチマークで最先端の成果を出す コンピューティング病理学の新しいプラグ・アンド・プレイ OOD 方法である 安定距離 (StaDis) を導入します

キーワード:
アノマリー検出コンピューター病理学マルチインスタンスの学習配送検出は終了しました.稀なケースの採掘

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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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