Home ›
Entities
› academia
› Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study
Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study
Research article (EClinicalMedicine, 2023) · cited 44× · AI/ML
Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study
Summary
Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study is a scholarly article[1].
Key Facts
Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study'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). Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-enabled-fully-automated-pipeline-system-for-segmentation-and-classification-of-single-mass-breast-lesions-
MLA“Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-enabled-fully-automated-pipeline-system-for-segmentation-and-classification-of-single-mass-breast-lesions-.
BibTeX@misc{4ortxyz_deep-learning-enabled-fully-automated-pipeline-system-for-segmentation-and-classification-of-single-mass-breast-lesions-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-enabled-fully-automated-pipeline-system-for-segmentation-and-classification-of-single-mass-breast-lesions-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning-enabled fully automated pipeline system for segmentation and classification of single-mass breast lesions using contrast-enhanced mammography: a prospective, multicentre study — https://4ort.xyz/entity/deep-learning-enabled-fully-automated-pipeline-system-for-segmentation-and-classification-of-single-mass-breast-lesions- (retrieved 2026-05-24)
