Annotating Ambiguous Images: General Annotation Strategy for High-Quality Data with Real-World Biomedical Validation

In the field of image classification, existing methods often struggle with biased or ambiguous data, a prevalent issue in real-world scenarios. Current strategies, including semi-supervised learning and class blending, offer partial solutions but lack a definitive resolution. Addressing this gap, ou...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Schmarje, Lars, Grossmann, Vasco, Zelenka, Claudius, Brünger, Johannes, Koch, Reinhard
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Biomedical materials Datasets Flow charts Image annotation Image classification Reduction Semi-supervised learning
Online-Zugang:	Volltext
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