Home ›
Entities
› academia
› 2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder
2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder
Research article (Quantitative Imaging in Medicine and Surgery, 2023) · cited 14× · AI/ML
2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder
Summary
2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder is a scholarly article[1].
Key Facts
2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder'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). 2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder. Retrieved May 24, 2026, from https://4ort.xyz/entity/2-5d-transfer-deep-learning-model-for-segmentation-of-contrast-enhancing-lesions-on-brain-magnetic-resonance-imaging-of-
MLA“2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/2-5d-transfer-deep-learning-model-for-segmentation-of-contrast-enhancing-lesions-on-brain-magnetic-resonance-imaging-of-.
BibTeX@misc{4ortxyz_2-5d-transfer-deep-learning-model-for-segmentation-of-contrast-enhancing-lesions-on-brain-magnetic-resonance-imaging-of-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder}}, year = {2026}, url = {https://4ort.xyz/entity/2-5d-transfer-deep-learning-model-for-segmentation-of-contrast-enhancing-lesions-on-brain-magnetic-resonance-imaging-of-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 2.5D transfer deep learning model for segmentation of contrast-enhancing lesions on brain magnetic resonance imaging of multiple sclerosis and neuromyelitis optica spectrum disorder — https://4ort.xyz/entity/2-5d-transfer-deep-learning-model-for-segmentation-of-contrast-enhancing-lesions-on-brain-magnetic-resonance-imaging-of- (retrieved 2026-05-24)