Improving Prostate Cancer (PCa) Classification Performance by Using Three-Player Minimax Game to Reduce Data Source Heterogeneity

Research article (IEEE Transactions on Medical Imaging, 2020) · cited 26× · AI/ML
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Improving Prostate Cancer (PCa) Classification Performance by Using Three-Player Minimax Game to Reduce Data Source Heterogeneity

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Improving Prostate Cancer (PCa) Classification Performance by Using Three-Player Minimax Game to Reduce Data Source Heterogeneity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving Prostate Cancer (PCa) Classification Performance by Using Three-Player Minimax Game to Reduce Data Source Heterogeneity. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-prostate-cancer-pca-classification-performance-by-using-three-player-minimax-game-to-reduce-data-source-hetero
MLA “Improving Prostate Cancer (PCa) Classification Performance by Using Three-Player Minimax Game to Reduce Data Source Heterogeneity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-prostate-cancer-pca-classification-performance-by-using-three-player-minimax-game-to-reduce-data-source-hetero.
BibTeX @misc{4ortxyz_improving-prostate-cancer-pca-classification-performance-by-using-three-player-minimax-game-to-reduce-data-source-hetero_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Prostate Cancer (PCa) Classification Performance by Using Three-Player Minimax Game to Reduce Data Source Heterogeneity}}, year = {2026}, url = {https://4ort.xyz/entity/improving-prostate-cancer-pca-classification-performance-by-using-three-player-minimax-game-to-reduce-data-source-hetero}, note = {Accessed: 2026-05-24}}
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