Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering

Julia Andresen, Timo Kepp, Michael Wang-Evers, Jan Ehrhardt, Dieter Manstein, Heinz Handels. Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering. In Klaus H. Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier 0001, Christoph Palm, Thomas Tolxdorff, editors, Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022. Informatik Aktuell, pages 1-6, Springer, 2022. [doi]

@inproceedings{AndresenKWEMH22,
  title = {Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering},
  author = {Julia Andresen and Timo Kepp and Michael Wang-Evers and Jan Ehrhardt and Dieter Manstein and Heinz Handels},
  year = {2022},
  doi = {10.1007/978-3-658-36932-3_1},
  url = {https://doi.org/10.1007/978-3-658-36932-3_1},
  researchr = {https://researchr.org/publication/AndresenKWEMH22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022},
  editor = {Klaus H. Maier-Hein and Thomas M. Deserno and Heinz Handels and Andreas Maier 0001 and Christoph Palm and Thomas Tolxdorff},
  series = {Informatik Aktuell},
  publisher = {Springer},
  isbn = {978-3-658-36932-3},
}