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Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation

Research article (Neurocomputing, 2022) · cited 20× · AI/ML
academia openalex:W4292022540
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Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation

Summary

Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation is a scholarly article[1].

Key Facts

  • Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-prototypical-feature-representation-learning-framework-for-semi-supervised-skin-lesion-segmentation
MLA “Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-prototypical-feature-representation-learning-framework-for-semi-supervised-skin-lesion-segmentation.
BibTeX @misc{4ortxyz_dynamic-prototypical-feature-representation-learning-framework-for-semi-supervised-skin-lesion-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-prototypical-feature-representation-learning-framework-for-semi-supervised-skin-lesion-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation — https://4ort.xyz/entity/dynamic-prototypical-feature-representation-learning-framework-for-semi-supervised-skin-lesion-segmentation (retrieved 2026-05-24)

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