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In its 4th edition, the Diabetic Foot Ulcer Challenge (DFUC) 2024 focuses on the task of Diabetic Foot Ulcer (DFU) segmentation by involving aspects of self-supervised learning as contrast to the DFUC 2022. This paper provides information on the challenge background, outlines details on an synthetic extension of the DFU dataset, elaborates rules fo...
Automatic identification of snake species from non-standard photos is an important task to improve medical treatment of snakebites. To address this problem, the SnakeCLEF 2023 competition provides a large data set of photos and metadata information for 1,784 snake species. This paper describes the FHDO Biomedical Computer Science Group's (BCSG) par...
Teaching machine learning is not only a balancing act between an appropriate amount of theory and practice. Beside relevant classic methods, it further needs to mind the state-of-the-art in a rapidly evolving field. Project-based learning approaches can aid translation of theory into practice, and serve as playground for modern methods. In addition...
Automatic snake species identification based on non-standardized photographs is an important task to improve the medical treatment of snake bites in developing countries. To overcome this problem, the SnakeCLEF 2022 challenge provides a large data set containing photographs and geospatial data for 1,572 snake species. This paper describes the parti...