V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

doi:doi:10.57702/obon8yms

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

The V-Net is a deep learning model for medical image segmentation that uses a U-Net architecture.

Data and Resources

Original MetadataJSON
The json representation of the dataset with its distributions based on DCAT.
Explore
- Preview
- Download

Cite this as

Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi (2024). Dataset: V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation. https://doi.org/10.57702/obon8yms

DOI retrieved: December 3, 2024

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.1606.04797
Author	Fausto Milletari
More Authors	Nassir Navab Seyed-Ahmad Ahmadi
Homepage	https://github.com/faustomilletari/VNet