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Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification

Research article (Medical Image Analysis, 2019) · cited 24× · AI/ML
academia openalex:W2950353870
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Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification

Summary

Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification is a scholarly article[1].

Key Facts

  • Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification's instance of is recorded as scholarly article[2].

Related Entities

Henning Müller

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/fusing-learned-representations-from-riesz-filters-and-deep-cnn-for-lung-tissue-classification
MLA “Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fusing-learned-representations-from-riesz-filters-and-deep-cnn-for-lung-tissue-classification.
BibTeX @misc{4ortxyz_fusing-learned-representations-from-riesz-filters-and-deep-cnn-for-lung-tissue-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification}}, year = {2026}, url = {https://4ort.xyz/entity/fusing-learned-representations-from-riesz-filters-and-deep-cnn-for-lung-tissue-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification — https://4ort.xyz/entity/fusing-learned-representations-from-riesz-filters-and-deep-cnn-for-lung-tissue-classification (retrieved 2026-05-24)

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