Home ›
Entities
› academia
› Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images
Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images
Research article (Frontiers in Oncology, 2021) · cited 23× · AI/ML
Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images
Summary
Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images is a scholarly article[1].
Key Facts
Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-breast-cancer-gene-expression-signature-by-applying-deep-convolutional-neural-networks-from-unannotated-patho
MLA“Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-breast-cancer-gene-expression-signature-by-applying-deep-convolutional-neural-networks-from-unannotated-patho.
BibTeX@misc{4ortxyz_predicting-breast-cancer-gene-expression-signature-by-applying-deep-convolutional-neural-networks-from-unannotated-patho_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-breast-cancer-gene-expression-signature-by-applying-deep-convolutional-neural-networks-from-unannotated-patho}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting Breast Cancer Gene Expression Signature by Applying Deep Convolutional Neural Networks From Unannotated Pathological Images — https://4ort.xyz/entity/predicting-breast-cancer-gene-expression-signature-by-applying-deep-convolutional-neural-networks-from-unannotated-patho (retrieved 2026-05-24)