Automatic segmentation of skin cells in multiphoton data using multi-stage merging
We propose a novel automatic segmentation algorithm that separates the components of human skin cells from the rest of the tissue in fluorescence data of three-dimensional scans using non-invasive multiphoton tomography. The algorithm encompasses a multi-stage merging on preprocessed superpixel imag...
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Main Authors: | Prinke, Philipp, Haueisen, Jens, Klee, Sascha, Rizqie, Muhammad Qurhanul, Supriyanto, Eko, Konig, Karsten, Breunig, Hans Georg, Piatek, Lukasz |
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格式: | Article |
语言: | English |
出版: |
Nature Research
2021
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在线阅读: | http://eprints.utm.my/id/eprint/94208/1/EkoSupriyanto2021_AutomaticSegmentationofSkinCells.pdf http://eprints.utm.my/id/eprint/94208/ http://dx.doi.org/10.1038/s41598-021-93682-y |
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