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Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis

Research article (IEEE Access, 2023) · cited 39× · AI/ML
academia openalex:W4319778071
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Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis

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Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis is a scholarly article[1].

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  • Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-from-multiple-expert-annotators-for-enhancing-anomaly-detection-in-medical-image-analysis
MLA “Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-from-multiple-expert-annotators-for-enhancing-anomaly-detection-in-medical-image-analysis.
BibTeX @misc{4ortxyz_learning-from-multiple-expert-annotators-for-enhancing-anomaly-detection-in-medical-image-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/learning-from-multiple-expert-annotators-for-enhancing-anomaly-detection-in-medical-image-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis — https://4ort.xyz/entity/learning-from-multiple-expert-annotators-for-enhancing-anomaly-detection-in-medical-image-analysis (retrieved 2026-05-24)

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