Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks
Summary
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks is a scholarly article[1].
Key Facts
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/tversky-as-a-loss-function-for-highly-unbalanced-image-segmentation-using-3d-fully-convolutional-deep-networks
MLA“Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tversky-as-a-loss-function-for-highly-unbalanced-image-segmentation-using-3d-fully-convolutional-deep-networks.
BibTeX@misc{4ortxyz_tversky-as-a-loss-function-for-highly-unbalanced-image-segmentation-using-3d-fully-convolutional-deep-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks}}, year = {2026}, url = {https://4ort.xyz/entity/tversky-as-a-loss-function-for-highly-unbalanced-image-segmentation-using-3d-fully-convolutional-deep-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks — https://4ort.xyz/entity/tversky-as-a-loss-function-for-highly-unbalanced-image-segmentation-using-3d-fully-convolutional-deep-networks (retrieved 2026-05-24)
