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3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks

Research article (Journal of Zhejiang University SCIENCE B, 2021) · cited 15× · AI/ML
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3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks

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3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks is a scholarly article[1].

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  • 3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). 3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/3d-brain-glioma-segmentation-in-mri-through-integrating-multiple-densely-connected-2d-convolutional-neural-networks
MLA “3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3d-brain-glioma-segmentation-in-mri-through-integrating-multiple-densely-connected-2d-convolutional-neural-networks.
BibTeX @misc{4ortxyz_3d-brain-glioma-segmentation-in-mri-through-integrating-multiple-densely-connected-2d-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/3d-brain-glioma-segmentation-in-mri-through-integrating-multiple-densely-connected-2d-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
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