Deep Learning and Data Labeling for Medical Applications

Julien Cornebise; Cardoso, Jaime S; Lu, Zhi; Marco Loog; Jacinto C. Nascimento; Papa, JoÃ£o Paulo; Vasileios Belagiannis; Tavares, JoÃ£o Manuel R. S; Andrew Peter Bradley; Loïc Peter; Diana Mateus; Gustavo Carneiro

doi:10.1007/978-3-319-46976-8

Deep Learning and Data Labeling for Medical Applications

Julien Cornebise (The University of Adelaide) iD Cardoso, Jaime S (Technical University of Munich) Lu, Zhi (Technical University of Munich) Marco Loog (The University of Queensland) iD Jacinto C. Nascimento (Universidade do Porto) iD Papa, JoÃ£o Paulo (University of Oxford) Vasileios Belagiannis (Universidade Estadual Paulista (Unesp)) iD Tavares, JoÃ£o Manuel R. S (Instituto Superior Técnico) Andrew Peter Bradley (Delft University of Technology) iD Loïc Peter (University of South Australia) iD Diana Mateus (Universidade do Porto) iD Gustavo Carneiro (Google DeepMind (United Kingdom)) iD

Journal: Lecture notes in computer science • 2016-01-01 • Springer Science+Business Media • ISSN: 0302-9743

Abstract

Abstract text is not embedded in this discovery record. Please consult the full-text publication via the source link on the right.

Subjects & Keywords

# Medical Image Segmentation Techniques # Computer Science # Artificial Intelligence in Healthcare and Education # Medicine # Domain Adaptation and Few-Shot Learning

How to Cite this Article

                    Julien Cornebise, Cardoso, Jaime S, Lu, Zhi, et al. (2016). "Deep Learning and Data Labeling for Medical Applications". Lecture notes in computer science. https://doi.org/10.1007/978-3-319-46976-8                

Access Full Article

Read Original Article ↗

MainReads is an independent discovery directory. Clicking above directs you to the official publisher repository.

Licence & Open Access

Open Access

Publicly accessible via the publisher or archive. Commercial redistribution or automated full-text duplication without author permission may be restricted.

Identifiers & Provenance

DOI: https://doi.org/10.1007/978-3-319-46976-8 ↗
OpenAlex: W2522083379 ↗
Primary Index: OPENALEX