Home › Entities › academia › Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study

Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study

Research article (EClinicalMedicine, 2024) · cited 16× · AI/ML
academia openalex:W4392214900
Press Enter · cited answer in seconds

Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study

Summary

Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study is a scholarly article[1].

Key Facts

  • Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study'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). Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-and-reusable-deep-learning-autordl-framework-for-predicting-response-to-neoadjuvant-chemotherapy-and-axillary-
MLA “Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-and-reusable-deep-learning-autordl-framework-for-predicting-response-to-neoadjuvant-chemotherapy-and-axillary-.
BibTeX @misc{4ortxyz_automated-and-reusable-deep-learning-autordl-framework-for-predicting-response-to-neoadjuvant-chemotherapy-and-axillary-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study}}, year = {2026}, url = {https://4ort.xyz/entity/automated-and-reusable-deep-learning-autordl-framework-for-predicting-response-to-neoadjuvant-chemotherapy-and-axillary-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images: a retrospective, multicentre study — https://4ort.xyz/entity/automated-and-reusable-deep-learning-autordl-framework-for-predicting-response-to-neoadjuvant-chemotherapy-and-axillary- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/automated-and-reusable-deep-learning-autordl-framework-for-predicting-response-to-neoadjuvant-chemotherapy-and-axillary- · Last refreshed: