Histological validation of in vivo assessment of cancer tissue inhomogeneity and automated morphological segmentation enabled by Optical Coherence Elastography

We present a non-invasive (albeit contact) method based on Optical Coherence Elastography (OCE) enabling the in vivo segmentation of morphological tissue constituents, in particular, monitoring of morphological alterations during both tumor development and its response to therapies. The method uses...

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Detalles Bibliográficos
Autores principales: Plekhanov, Anton A., Sirotkina, Marina A., Sovetsky, Alexander A., Gubarkova, Ekaterina V., Kuznetsov, Sergey S., Matveyev, Alexander L., Matveev, Lev A., Zagaynova, Elena V., Gladkova, Natalia D., Zaitsev, Vladimir Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366713/
https://www.ncbi.nlm.nih.gov/pubmed/32678175
http://dx.doi.org/10.1038/s41598-020-68631-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366713/
https://www.ncbi.nlm.nih.gov/pubmed/32678175
http://dx.doi.org/10.1038/s41598-020-68631-w

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