Annotating a dataset for training a Supervised Machine Learning algorithm is time and annotator’s attention intensive. Our colleagues from the Department of Cybernetics (Miroslav Jirik, Ivan Gruber, and Milos Zelezny) developed a procedure for producing the datasets based on microscopic whole slide images for regression tasks. Together with colleagues from the Biomedical Center of Charles University, they prepared an open-source application for creating annotations of the dataset with minimal demands on the expert’s time. The work was published in Lecture Notes in Computer Science (SJR=0.283).
Jirik M. et al. (2020) MicrAnt: Towards Regression Task Oriented Annotation Tool for Microscopic Images. In: Lukić T., Barneva R., Brimkov V., Čomić L., Sladoje N. (eds) Combinatorial Image Analysis. IWCIA 2020. Lecture Notes in Computer Science, vol 12148. Springer, Cham. https://doi.org/10.1007/978-3-030-51002-2_15