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Advancing Skin Cancer Detection: Deep Learning Approaches for Enhanced Diagnostic Accuracy

Research article (2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET), 2024) · cited 20× · AI/ML
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Advancing Skin Cancer Detection: Deep Learning Approaches for Enhanced Diagnostic Accuracy

Summary

Advancing Skin Cancer Detection: Deep Learning Approaches for Enhanced Diagnostic Accuracy is a scholarly article[1].

Key Facts

  • Advancing Skin Cancer Detection: Deep Learning Approaches for Enhanced Diagnostic Accuracy's instance of is recorded as scholarly article[2].

References

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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). Advancing Skin Cancer Detection: Deep Learning Approaches for Enhanced Diagnostic Accuracy. Retrieved May 24, 2026, from https://4ort.xyz/entity/advancing-skin-cancer-detection-deep-learning-approaches-for-enhanced-diagnostic-accuracy
MLA “Advancing Skin Cancer Detection: Deep Learning Approaches for Enhanced Diagnostic Accuracy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advancing-skin-cancer-detection-deep-learning-approaches-for-enhanced-diagnostic-accuracy.
BibTeX @misc{4ortxyz_advancing-skin-cancer-detection-deep-learning-approaches-for-enhanced-diagnostic-accuracy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advancing Skin Cancer Detection: Deep Learning Approaches for Enhanced Diagnostic Accuracy}}, year = {2026}, url = {https://4ort.xyz/entity/advancing-skin-cancer-detection-deep-learning-approaches-for-enhanced-diagnostic-accuracy}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advancing Skin Cancer Detection: Deep Learning Approaches for Enhanced Diagnostic Accuracy — https://4ort.xyz/entity/advancing-skin-cancer-detection-deep-learning-approaches-for-enhanced-diagnostic-accuracy (retrieved 2026-05-24)

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