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  • Μικρογραφία εικόνας
    Τεκμήριο
    Exploring diagnostic captioning methods
    (2021-11-09) Karatzas, Vasilis; Καρατζάς, Βασίλης; Athnes University of Economics and Business, Department of Informatics; Vassalos, Vasilios; Koutsopoulos, Iordanis; Androutsopoulos, Ion
    Image captioning has been researched a lot recently, but not much of that research has been applied to the biomedical domain. Diagnostic Captioning, the process of predicting diagnoses for medical images, can be very helpful for medical experts, since writing a diagnosis can be time-consuming and there is a lot of demand for it. In this master thesis the behavior of three types of models for diagnostic captioning is studied: image unaware unaware, retrieval, and image encoders combined with language models. The thesis also contains important findings on the difference that the preprocessing of the test captions can make in evaluation scores. Finally, this thesis concerns the participation of AUEB's NLP Group in the 2021 ImageCLEFmedical Caption competition, where the main driver was the author. The team earned the 2nd place among 8 teams with a retrieval based model.