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Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm<sup>2</sup> range: quality of fit and classification accuracy for different representations
Research article (Magnetic Resonance in Medicine, 2020) · cited 18× · AI/ML
Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm2 range: quality of fit and classification accuracy for different representations
Summary
Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm2 range: quality of fit and classification accuracy for different representations is a scholarly article[1].
Key Facts
Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm2 range: quality of fit and classification accuracy for different representations's instance of is recorded as scholarly article[2].
References
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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). Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm<sup>2</sup> range: quality of fit and classification accuracy for different representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-the-diffusionweighted-imaging-signal-for-breast-lesions-in-the-b-200-to-3000-s-mm-sup-2-sup-range-quality-of-fi
MLA“Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm<sup>2</sup> range: quality of fit and classification accuracy for different representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-the-diffusionweighted-imaging-signal-for-breast-lesions-in-the-b-200-to-3000-s-mm-sup-2-sup-range-quality-of-fi.
BibTeX@misc{4ortxyz_modeling-the-diffusionweighted-imaging-signal-for-breast-lesions-in-the-b-200-to-3000-s-mm-sup-2-sup-range-quality-of-fi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm<sup>2</sup> range: quality of fit and classification accuracy for different representations}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-the-diffusionweighted-imaging-signal-for-breast-lesions-in-the-b-200-to-3000-s-mm-sup-2-sup-range-quality-of-fi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm<sup>2</sup> range: quality of fit and classification accuracy for different representations — https://4ort.xyz/entity/modeling-the-diffusionweighted-imaging-signal-for-breast-lesions-in-the-b-200-to-3000-s-mm-sup-2-sup-range-quality-of-fi (retrieved 2026-05-24)
