Home ›
Entities
› academia
› Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study
Summary
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study is a scholarly article[1].
Key Facts
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter 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). Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/rethinking-annotation-granularity-for-overcoming-shortcuts-in-deep-learningbased-radiograph-diagnosis-a-multicenter-stud
MLA“Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rethinking-annotation-granularity-for-overcoming-shortcuts-in-deep-learningbased-radiograph-diagnosis-a-multicenter-stud.
BibTeX@misc{4ortxyz_rethinking-annotation-granularity-for-overcoming-shortcuts-in-deep-learningbased-radiograph-diagnosis-a-multicenter-stud_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study}}, year = {2026}, url = {https://4ort.xyz/entity/rethinking-annotation-granularity-for-overcoming-shortcuts-in-deep-learningbased-radiograph-diagnosis-a-multicenter-stud}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study — https://4ort.xyz/entity/rethinking-annotation-granularity-for-overcoming-shortcuts-in-deep-learningbased-radiograph-diagnosis-a-multicenter-stud (retrieved 2026-05-24)
