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Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method

Research article (Scientific Reports, 2022) · cited 49× · AI/ML
academia openalex:W4307043455
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Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method

Summary

Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method is a scholarly article[1].

Key Facts

  • Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method's instance of is recorded as scholarly article[2].

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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). Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-diagnostics-for-bladder-tumor-identification-and-grade-prediction-using-rgb-method
MLA “Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-diagnostics-for-bladder-tumor-identification-and-grade-prediction-using-rgb-method.
BibTeX @misc{4ortxyz_deep-learning-diagnostics-for-bladder-tumor-identification-and-grade-prediction-using-rgb-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-diagnostics-for-bladder-tumor-identification-and-grade-prediction-using-rgb-method}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning diagnostics for bladder tumor identification and grade prediction using RGB method — https://4ort.xyz/entity/deep-learning-diagnostics-for-bladder-tumor-identification-and-grade-prediction-using-rgb-method (retrieved 2026-05-24)

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