Automatic segmentation of skin cells in multiphoton data using multi-stage merging

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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Bibliographic Details
Main Authors: Prinke, Philipp, Haueisen, Jens, Klee, Sascha, Rizqie, Muhammad Qurhanul, Supriyanto, Eko, Konig, Karsten, Breunig, Hans Georg, Piatek, Lukasz
Format: Article
Language:English
Published: Nature Research 2021
Subjects:
QD Chemistry
QH Natural history
Online Access: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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Institution: Universiti Teknologi Malaysia
Language: English

Internet

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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