Dr. Michaela Benz Profile

Dr. Michaela Benz

at Fraunhofer IIS

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Author

Publications (5)

SPIE Journal Paper | 14 March 2022 Open Access

Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification

Frauke Wilm, Michaela Benz, Volker Bruns, Serop Baghdadlian, Jakob Dexl, David Hartmann, Petr Kuritcyn, Martin Weidenfeller, Thomas Wittenberg, Susanne Merkel, Arndt Hartmann, Markus Eckstein, Carol Immanuel Geppert

JMI, Vol. 9, Issue 02, 027501, (March 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.2.027501

KEYWORDS: Tumors, Tissues, Image segmentation, Cartography, Colorectal cancer, Image classification, Image resolution, Visualization, Colon, Pathology

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Proceedings Article | 1 March 2017 Paper

Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution

Wolfgang Aichinger, Sebastian Krappe, A. Enis Cetin, Rengul Cetin-Atalay, Aysegül Üner, Michaela Benz, Thomas Wittenberg, Marc Stamminger, Christian Münzenmayer

Proceedings Volume 10140, 101400N (2017) https://doi.org/10.1117/12.2254036

KEYWORDS: Convolutional neural networks, Cancer, Neural networks, Stem cells, Tissues, Statistical analysis, Medicine, Oncology, Databases, Machine learning, Pattern recognition, Pathology, RGB color model, Image segmentation, Image classification, Liver

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Proceedings Article | 1 March 2017 Paper

Automated plasmodia recognition in microscopic images for diagnosis of malaria using convolutional neural networks

Sebastian Krappe, Michaela Benz, Alexander Gryanik, Egbert Tannich, Christine Wegner, Marc Stamminger, Thomas Wittenberg, Chrisitan Münzenmayer

Proceedings Volume 10140, 101400B (2017) https://doi.org/10.1117/12.2249845

KEYWORDS: Microscopes, Computing systems, Blood, Neural networks, Microscopy, Diagnostic tests, Medicine, Morphological analysis, Computer aided diagnosis and therapy, Convolutional neural networks, Databases, RGB color model, Visualization, Image segmentation

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Proceedings Article | 20 March 2015 Paper

Automated classification of bone marrow cells in microscopic images for diagnosis of leukemia: a comparison of two classification schemes with respect to the segmentation quality

Sebastian Krappe, Michaela Benz, Thomas Wittenberg, Torsten Haferlach, Christian Münzenmayer

Proceedings Volume 9414, 94143I (2015) https://doi.org/10.1117/12.2081946

KEYWORDS: Bone, Image segmentation, Image classification, Leukemia, Feature extraction, Morphological analysis, Plasma, Microscopes, Image acquisition, RGB color model

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Proceedings Article | 23 February 2012 Paper

Automatic segmentation of lesions for the computer-assisted detection in fluorescence urology

Andreas Kage, Wolfgang Legal, Peter Kelm, Jörg Simon, Tobias Bergen, Christian Münzenmayer, Michaela Benz

Proceedings Volume 8315, 83151O (2012) https://doi.org/10.1117/12.911366

KEYWORDS: Luminescence, Tissues, Image segmentation, Visualization, Databases, Information visualization, Bladder, Endoscopes, Switches, Computer aided diagnosis and therapy

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