Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Deep learning approaches for bone and bone lesion segmentation on 18FDG ..."

Noémie Moreau et al. (2020)

> Home

Details and statistics

DOI: 10.1109/EMBC44109.2020.9175904

access: closed

type: Conference or Workshop Paper

metadata version: 2020-12-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/embc/MoreauRFSFLGCCR20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/embc/MoreauRFSFLGCCR20
Noémie Moreau, Caroline Rousseau, Constance Fourcade, Gianmarco Santini, Ludovic Ferrer, Marie Lacombe, Camille Guillerminet, Mario Campone, Mathilde Colombié, Mathieu Rubeaux, Nicolas Normand:
Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer^*. EMBC 2020: 1532-1535

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.