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Published in:
2018 | OriginalPaper | Chapter
Multi-channel Deep Transfer Learning for Nuclei Segmentation in Glioblastoma Cell Tissue Images
Authors : Thomas Wollmann, Julia Ivanova, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr
Published in: Bildverarbeitung für die Medizin 2018
Publisher: Springer Berlin Heidelberg
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Segmentation and quantification of cell nuclei is an important task in tissue microscopy image analysis. We introduce a deep learning method leveraging atrous spatial pyramid pooling for cell segmentation. We also present two different approaches for transfer learning using datasets with a different number of channels. A quantitative comparison with previous methods was performed on challenging glioblastoma cell tissue images. We found that our transfer learning method improves the segmentation result.