Home › Entities › academia › Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification

Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification

Research article (Multimedia Tools and Applications, 2022) · cited 12× · AI/ML
academia openalex:W4302283557
Press Enter · cited answer in seconds

Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification

Summary

Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification is a scholarly article[1].

Key Facts

  • Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimization-empowered-hierarchical-residual-vggnet19-network-for-multi-class-brain-tumour-classification
MLA “Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimization-empowered-hierarchical-residual-vggnet19-network-for-multi-class-brain-tumour-classification.
BibTeX @misc{4ortxyz_optimization-empowered-hierarchical-residual-vggnet19-network-for-multi-class-brain-tumour-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification}}, year = {2026}, url = {https://4ort.xyz/entity/optimization-empowered-hierarchical-residual-vggnet19-network-for-multi-class-brain-tumour-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification — https://4ort.xyz/entity/optimization-empowered-hierarchical-residual-vggnet19-network-for-multi-class-brain-tumour-classification (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/optimization-empowered-hierarchical-residual-vggnet19-network-for-multi-class-brain-tumour-classification · Last refreshed: