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Abstract
The acquisition of high-quality data and annotations is essential for the training of efficient machine learning algorithms, while being an expensive and time-consuming process. Although the process of data processing and training and testing of machine learning models is well studied and considered in the literature, the actual procedures of obtaining data and their annotations in collaboration with physicians are in most cases based on the personal intuition and suppositions of the researchers.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Cychnerski J., Dziubich T.: Process of Medical Dataset Construction for Machine Learning-Multifield Study and Guidelines// / : , 2021,
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-85082-1_20
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
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