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). A divide and conquer approach to maximise deep learning mammography classification accuracies. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-divide-and-conquer-approach-to-maximise-deep-learning-mammography-classification-accuracies
MLA“A divide and conquer approach to maximise deep learning mammography classification accuracies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-divide-and-conquer-approach-to-maximise-deep-learning-mammography-classification-accuracies.
BibTeX@misc{4ortxyz_a-divide-and-conquer-approach-to-maximise-deep-learning-mammography-classification-accuracies_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A divide and conquer approach to maximise deep learning mammography classification accuracies}}, year = {2026}, url = {https://4ort.xyz/entity/a-divide-and-conquer-approach-to-maximise-deep-learning-mammography-classification-accuracies}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A divide and conquer approach to maximise deep learning mammography classification accuracies — https://4ort.xyz/entity/a-divide-and-conquer-approach-to-maximise-deep-learning-mammography-classification-accuracies (retrieved 2026-05-24)
