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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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nnU-Net weights for Prostate segmentation used in PI-CAI Challenge - Phase 1

Research datakeyboard_double_arrow_right Dataset 27 Feb 2023Publisher:Zenodo
Authors: Debs, Noëlie; Routier, Alexandre; Abi-Nader, Clément; Marcoux, Arnaud; Nicolas, François; Bône, Alexandre; Rohé, Marc-Michel;

doi: 10.5281/zenodo.7680508 , 10.5281/zenodo.7680507

nnU-Net weights for Prostate segmentation used in PI-CAI Challenge - Phase 1

Abstract

nnU-Net weights for Prostate segmentation used in PI-CAI Challenge - Phase 1. A baseline nnU-Net was trained to segment the prostate gland, using the 1500 cases training data from PI-CAI dataset. The network took as input 3 modalities (T2w, ADC, high DWIb), and the ground truth was AI-derived prostate masks. See Abstract "Deep learning for detection and diagnosis of prostate cancer from bpMRI and PSA: Guerbet’s contribution to the PI-CAI 2022 Grand Challenge" for further information.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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