Skip to content

  • Project
    • Overview
    • Objectives
    • Partners
    • Advisory Board
  • News
  • Blog
  • Resources
    • Publications
    • Media
    • Datasets and Ontologies
    • Software
    • Services
    • Public Deliverables
    • Dissemination Activities
  • Contacts
  • Administration
    • Login
    • Add news
    • Project Wiki

Semi-Supervised Learning

We released the Semi_Supervised_Learning library, containing the implementation of semi-supervised and semi-weakly supervised Teacher/Student learning approaches. The library is also described in the paper “Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: an experiment on prostate histopathology image classification“, published on Medical Image Analysis.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825292

This project is part of the BDV initiative

In liaison with

  • Login
  • Enter news
Proudly powered by WordPress
RSS
Facebook
Twitter