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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Detalles Bibliográficos
Autores principales: Prinke, Philipp, Haueisen, Jens, Klee, Sascha, Rizqie, Muhammad Qurhanul, Supriyanto, Eko, König, Karsten, Breunig, Hans Georg, Piątek, Łukasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282875/
https://www.ncbi.nlm.nih.gov/pubmed/34267247
http://dx.doi.org/10.1038/s41598-021-93682-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282875/
https://www.ncbi.nlm.nih.gov/pubmed/34267247
http://dx.doi.org/10.1038/s41598-021-93682-y

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