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Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg
Research article (Frontiers in Neurology, 2023) · cited 13× · AI/ML
Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg
Summary
Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg is a scholarly article[1].
Key Facts
Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-and-validation-of-a-deep-learning-based-automatic-segmentation-model-for-assessing-intracranial-volume-compa
MLA“Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-and-validation-of-a-deep-learning-based-automatic-segmentation-model-for-assessing-intracranial-volume-compa.
BibTeX@misc{4ortxyz_development-and-validation-of-a-deep-learning-based-automatic-segmentation-model-for-assessing-intracranial-volume-compa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg}}, year = {2026}, url = {https://4ort.xyz/entity/development-and-validation-of-a-deep-learning-based-automatic-segmentation-model-for-assessing-intracranial-volume-compa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg — https://4ort.xyz/entity/development-and-validation-of-a-deep-learning-based-automatic-segmentation-model-for-assessing-intracranial-volume-compa (retrieved 2026-05-24)
