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Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia

Research article (2021 International Conference on Emerging Smart Computing and Informatics (ESCI), 2021) · cited 35× · AI/ML
academia openalex:W3153699014
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Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia

Summary

Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia is a scholarly article[1].

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  • Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia. Retrieved May 24, 2026, from https://4ort.xyz/entity/pre-trained-vgg-16-with-cnn-architecture-to-classify-x-rays-images-into-normal-or-pneumonia
MLA “Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pre-trained-vgg-16-with-cnn-architecture-to-classify-x-rays-images-into-normal-or-pneumonia.
BibTeX @misc{4ortxyz_pre-trained-vgg-16-with-cnn-architecture-to-classify-x-rays-images-into-normal-or-pneumonia_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia}}, year = {2026}, url = {https://4ort.xyz/entity/pre-trained-vgg-16-with-cnn-architecture-to-classify-x-rays-images-into-normal-or-pneumonia}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pre-trained VGG-16 with CNN Architecture to classify X-Rays images into Normal or Pneumonia — https://4ort.xyz/entity/pre-trained-vgg-16-with-cnn-architecture-to-classify-x-rays-images-into-normal-or-pneumonia (retrieved 2026-05-24)

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