Home › Entities › academia › Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders

Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders

Research article (Medical Hypotheses, 2019) · cited 94× · AI/ML
academia openalex:W2988008335
Press Enter · cited answer in seconds

Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders

Summary

Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders is a scholarly article[1].

Key Facts

  • Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders'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). Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-breast-cancer-diagnosis-based-on-a-combination-of-convolutional-neural-networks-ridge-regression-and-line
MLA “Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-breast-cancer-diagnosis-based-on-a-combination-of-convolutional-neural-networks-ridge-regression-and-line.
BibTeX @misc{4ortxyz_application-of-breast-cancer-diagnosis-based-on-a-combination-of-convolutional-neural-networks-ridge-regression-and-line_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-breast-cancer-diagnosis-based-on-a-combination-of-convolutional-neural-networks-ridge-regression-and-line}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of breast cancer diagnosis based on a combination of convolutional neural networks, ridge regression and linear discriminant analysis using invasive breast cancer images processed with autoencoders — https://4ort.xyz/entity/application-of-breast-cancer-diagnosis-based-on-a-combination-of-convolutional-neural-networks-ridge-regression-and-line (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/application-of-breast-cancer-diagnosis-based-on-a-combination-of-convolutional-neural-networks-ridge-regression-and-line · Last refreshed: