NNCompare: A framework for dataset selection, data augmentation and comparison of different neural networks for medical image analysis

Wiese, L.L.WieseHöltje, D.D.Höltje2022-03-152022-03-152021https://publica.fraunhofer.de/handle/publica/41299410.1145/3462462.3468884In our institute we capture a variety of medical image data - in particular, microscopy data for the use case of bronchoconstriction. In order to alleviate the manual intervention for the image analysis, we developed a comprehensive data analysis pipeline that automates the image preprocessing, data augmentation, as well as neural network training and deployment with a web-based user interface. We evaluate the pipeline on a real-world medical image dataset and comparatively analyze the performance of four different neural network architectures.en610620NNCompare: A framework for dataset selection, data augmentation and comparison of different neural networks for medical image analysisconference paper