"Methods and frameworks of annotation cost optimization for deep learning ..."

Camille Ruppli (2023)

> Home

Details and statistics

DOI: —

access: closed

type: Book or Thesis

metadata version: 2024-01-24

- view
  - electronic edition @ archives-ouvertes.fr
- export record
  dblp key:
  - phd/hal/Ruppli23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/phd/hal/Ruppli23
Camille Ruppli:
Methods and frameworks of annotation cost optimization for deep learning algorithms applied to medical imaging. (Méthodes et systèmes d'optimisation de la charge d'annotation en imagerie médicale pour les algorithmes d'apprentissage). Polytechnic Institute of Paris, Palaiseau, France, 2023

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.