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MIA is an open-source standalone deep learning application for microscopic image analysis

ORCID
0000-0002-9692-5010
Affiliation
German Federal Institute for Risk Assessment (BfR), German Centre for the Protection of Laboratory Animals (Bf3R), Berlin, Germany
Körber, Nils

In recent years, the amount of data generated by imaging techniques has grown rapidly, along with increasing computational power and the development of deep learning algorithms. To address the need for powerful automated image analysis tools for a broad range of applications in the biomedical sciences, the Microscopic Image Analyzer (MIA) was developed. MIA combines a graphical user interface that obviates the need for pro-
gramming skills with state-of-the-art deep-learning algorithms for segmentation, object detection, and clas-sification. It runs as a standalone, platform-independent application and uses open data formats, which are compatible with commonly used open-source software packages. The software provides a unified interface for easy image labeling, model training, and inference. Furthermore, the software was evaluated in a public
competition and performed among the top three for all tested datasets.

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