Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

Modern pathology diagnostics is being driven toward large scale digitization of microscopic tissue sections. A prerequisite for its safe implementation is the guarantee that all tissue present on a glass slide can also be found back in the digital image. Whole-slide scanners perform a tissue segment...

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Detalles Bibliográficos
Autores principales: Bándi, Péter, Balkenhol, Maschenka, van Ginneken, Bram, van der Laak, Jeroen, Litjens, Geert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Pathology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924324/
https://www.ncbi.nlm.nih.gov/pubmed/31871843
http://dx.doi.org/10.7717/peerj.8242

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924324/
https://www.ncbi.nlm.nih.gov/pubmed/31871843
http://dx.doi.org/10.7717/peerj.8242

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