Tensorflow slim based model training for ImageCLEF 2016 subfigure classification.
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Updated
Sep 8, 2017 - Python
Tensorflow slim based model training for ImageCLEF 2016 subfigure classification.
Classification of microscopy images based on image modality.
The aim of this task is to automatically select medical concepts related to each image, as a first step towards generating image captions, medical reports, or to help in medical diagnosis.
A toolkit for the research group's participations on the ImageCLEF challenges
Scripts, figures and working notes for the participation in SnakeCLEF-2022, part of the 13th CLEF Conference, 2022
Visual Question Answering in the Medical Domain VQA-Med 2019
Scripts, figures and working notes for the participation in FungiCLEF-2022, part of the 13th CLEF Conference, 2022
Scripts, figures, and working notes for the participation in ImageCLEFmedical, part of the 14th CLEF Conference, 2023.
Notebooks and references for the submission to SnakeCLEF, 2021 edition.
Scripts, figures, and working notes for the participation in ImageCLEFmedical GANs task, part of the 14th CLEF Conference, 2023.
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