Interactive Interface for Active Learning
Supervision: Shadi AlbarqouniAbstract
Tasks:
- Implement a game for CNN Visualisation
- Publish it online for crowdsourcing
- Compare the results with few baselines
Requirements:
- Good understanding of statistics and machine learning methods.
- Very good programming skills in Unity3D, Java, and C++/Python
Location:
- FMI Building, Garching
Literature
| 2016 | |
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S. Albarqouni, S. Matl, M. Baust, N. Navab, S. Demirci
Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research Proceedings of MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, Athens, Greece, October 2016 The first two authors contribute equally to this paper. (bib) |
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S. Albarqouni, C. Baur, F. Achilles, V. Belagiannis, S. Demirci, N. Navab
AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images IEEE Transactions on Medical Imaging (TMI), Special Issue on Deep Learning, vol. 35, no. 5, pp. 1313 - 1321, 2016. The first two authors contribute equally to this paper. (bib) |
| ProjectForm | |
|---|---|
| Title: | Interactive Interface for Active Learning |
| Abstract: | |
| Student: | |
| Director: | Prof. Nassir Navab |
| Supervisor: | Shadi Albarqouni |
| Type: | Project |
| Area: | Machine Learning, Medical Imaging, Computer Vision |
| Status: | draft |
| Start: | |
| Finish: | |
| Thesis (optional): | |
| Picture: | |