Beyond medical imaging
Image processing and (weakly) supervised learning in other datasets
Description
Next to medical imaging occasionally lab members work on other types of data, with methods often at least partially inspired by (traditional) image processing and weakly-supervised learning techniques. Some projects include (not all are published yet):
- Nikolaj Kjøller Bjerregaard developed a method for recognizing furigana in Japanese texts and comic books
- Jannik Elsässer did a project on recognizing sea grass in underwater images
- Patrick Wittendorff Abarzua Neira, Silas Roien Arildsen, Bertram Kosmo Hviid and Tobias Skovbæk Brund did a project on machine learning for sign language recognition
- Dovile did a project on predictive maintenance of ball bearings in the pharmaceutical industry
Credits
The cover image is by Becca Walthall from Noun Project (CC BY 3.0)
References
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- arXiv preprint arXiv:2203.03259, 2022