Open Access

OSS-Net trained models

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Files

oss_net_a_bra_ts.pt (OSS-Net A BraTS 2020) (27.72 MB)
 oss_net_b_bra_ts.pt (OSS-Net B BraTS 2020) (27.75 MB)
 oss_net_c_bra_ts.pt (OSS-Net C BraTS 2020) (33.26 MB)
 oss_net_d_bra_ts.pt (OSS-Net D BraTS 2020) (33.29 MB)
 oss_net_a_lits.pt (OSS-Net A LiTS) (35.98 MB)

Date

2021-10-22

Type

Model

Authors

Reich, Christoph
Prangemeier, Tim
Cetin, Özdemir
Koeppl, Heinz

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

Trained OSS-Net models of the paper "OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data".

Keywords

deep learning, 3d semantic segmentation, oss-net, bmvc2021

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2991
 https://doi.org/10.48328/tudatalib-659

Endorsement

Related Resources

Is Part Of
https://arxiv.org/abs/2110.10640

DFG Classification

4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren
4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing

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License

MIT License
Except where otherwise noted, this license is described as MIT License