Home › Entities › academia › A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR

A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR

Research article (Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, 2022) · cited 20× · AI/ML
academia openalex:W4311840429
Press Enter · cited answer in seconds

A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR

Summary

A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR is a scholarly article[1].

Key Facts

  • A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR'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). A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-one-dimensional-convolutional-neural-network-based-deep-learning-for-high-accuracy-classification-of-transformation-st
MLA “A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-one-dimensional-convolutional-neural-network-based-deep-learning-for-high-accuracy-classification-of-transformation-st.
BibTeX @misc{4ortxyz_a-one-dimensional-convolutional-neural-network-based-deep-learning-for-high-accuracy-classification-of-transformation-st_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR}}, year = {2026}, url = {https://4ort.xyz/entity/a-one-dimensional-convolutional-neural-network-based-deep-learning-for-high-accuracy-classification-of-transformation-st}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR — https://4ort.xyz/entity/a-one-dimensional-convolutional-neural-network-based-deep-learning-for-high-accuracy-classification-of-transformation-st (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-one-dimensional-convolutional-neural-network-based-deep-learning-for-high-accuracy-classification-of-transformation-st · Last refreshed: