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How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models

Crossref DOI link: https://doi.org/10.1007/978-3-031-72744-3_21

Published Online: 2024-10-09

Published Print: 2025

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Toosi, Amirhosein http://orcid.org/0000-0001-6432-9428
Harsini, Sara http://orcid.org/0000-0001-6196-6982
Bénard, François http://orcid.org/0000-0001-7995-3581
Uribe, Carlos http://orcid.org/0000-0003-3127-7478
Rahmim, Arman http://orcid.org/0000-0002-9980-2403
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Text and Data Mining valid from 2024-10-09

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Chapter History

First Online: 9 October 2024

Disclosure of Interests

: The authors have no competing interests to declare that are relevant to the content of this article.

Conference Information

Conference Acronym: DGM4MICCAI

Conference Name: MICCAI Workshop on Deep Generative Models

Conference City: Marrakesh

Conference Country: Morocco

Conference Year: 2024

Conference Start Date: 9 October 2024

Conference End Date: 9 October 2024

Conference Number: 4

Conference ID: dgm4miccai2024

Conference URL: https://dgm4miccai.github.io/

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