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V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation

Research article (2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020) · cited 15× · AI/ML
academia openalex:W3028038068
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V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation

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V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/v-net-light-parameter-efficient-3-d-convolutional-neural-network-for-prostate-mri-segmentation
MLA “V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/v-net-light-parameter-efficient-3-d-convolutional-neural-network-for-prostate-mri-segmentation.
BibTeX @misc{4ortxyz_v-net-light-parameter-efficient-3-d-convolutional-neural-network-for-prostate-mri-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/v-net-light-parameter-efficient-3-d-convolutional-neural-network-for-prostate-mri-segmentation}, note = {Accessed: 2026-05-24}}
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