# Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/convolutional-neural-networks-for-pet-functional-volume-fully-automatic/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Andrei Iantsen,Marta S. Ferreira,François Lucia,Vincent Jaouen,Caroline Reinhold,Pietro Andrea Bonaffini,Joanne Alfieri,Ramón Rovira,Ingrid Masson,Philippe Robin,A. Mervoyer,Caroline Rousseau,Frédéric Kridelka,Marjolein Decuypere,Pierre Lovinfosse,Olivier Pradier,Roland Hustinx,Ulrike Schick,Dimitris Visvikis,Mathieu Hatt |
| Citations | 29 |
| DOI | 10.1007/s00259-021-05244-z |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00259-021-05244-z.pdf |
| OpenAlex ID | https://openalex.org/W3137818185 |
| PMID | 33772335 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Ramón Rovira](https://scholariq.org/researchers/ramon-rovira/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Medical Imaging Techniques and Applications](https://scholariq.org/topics/medical-imaging-techniques-and-applications/)
- [Prostate Cancer Treatment and Research](https://scholariq.org/topics/prostate-cancer-treatment-and-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.