Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation

Research article (Pattern Recognition, 2023) · cited 41× · AI/ML
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Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation

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Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation is a scholarly article[1].

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  • Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-contrastive-learning-guided-by-class-confidence-and-confusion-degree-for-medical-image-segmentation
MLA “Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-contrastive-learning-guided-by-class-confidence-and-confusion-degree-for-medical-image-segmentation.
BibTeX @misc{4ortxyz_dynamic-contrastive-learning-guided-by-class-confidence-and-confusion-degree-for-medical-image-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-contrastive-learning-guided-by-class-confidence-and-confusion-degree-for-medical-image-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamic contrastive learning guided by class confidence and confusion degree for medical image segmentation — https://4ort.xyz/entity/dynamic-contrastive-learning-guided-by-class-confidence-and-confusion-degree-for-medical-image-segmentation (retrieved 2026-05-24)

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