Schlereth M, Stromer D, Breininger K, Wagner A, Tan L, Maier A, Knieling F (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Springer Science and Business Media Deutschland GmbH
Pages Range: 285-290
Conference Proceedings Title: Informatik aktuell
Event location: Heidelberg, DEU
ISBN: 9783658369316
DOI: 10.1007/978-3-658-36932-3_60
Neuromuscular diseases (NMDs) cause a significant burden for both healthcare systems and society. They can lead to severe progressive muscle weakness, muscle degeneration, contracture, deformity and progressive disability. The NMDs evaluated in this study often manifest in early childhood. As subtypes of disease, e.g. Duchenne muscular dystropy (DMD) and spinal muscular atrophy (SMA), are difficult to differentiate at the beginning and worsen quickly, fast and reliable differential diagnosis is crucial. Photoacoustic and ultrasound imaging has shown great potential to visualize and quantify the extent of different diseases. The addition of automatic classification of such image data could further improve standard diagnostic procedures.We compare deep learning-based 2-class and 3-class classifiers based on VGG16 for differentiating healthy from diseased muscular tissue. This work shows promising results with high accuracies above 0.86 for the 3-class problem and can be used as a proof of concept for future approaches for earlier diagnosis and therapeutic monitoring of NMDs.
APA:
Schlereth, M., Stromer, D., Breininger, K., Wagner, A., Tan, L., Maier, A., & Knieling, F. (2022). Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 285-290). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.
MLA:
Schlereth, Maja, et al. "Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging." Proceedings of the German Workshop on Medical Image Computing, 2022, Heidelberg, DEU Ed. Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2022. 285-290.
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