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Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks

Research article (Procedia Computer Science, 2020) · cited 46× · AI/ML
academia openalex:W3033302956
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Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks

Summary

Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks is a scholarly article[1].

Key Facts

  • Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks'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). Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/vision-based-detection-and-categorization-of-skin-lesions-using-deep-learning-neural-networks
MLA “Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vision-based-detection-and-categorization-of-skin-lesions-using-deep-learning-neural-networks.
BibTeX @misc{4ortxyz_vision-based-detection-and-categorization-of-skin-lesions-using-deep-learning-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/vision-based-detection-and-categorization-of-skin-lesions-using-deep-learning-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks — https://4ort.xyz/entity/vision-based-detection-and-categorization-of-skin-lesions-using-deep-learning-neural-networks (retrieved 2026-05-24)

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