Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification

PURPOSE: Automatic outlining of different tissue types in digitized histological specimen provides a basis for follow-up analyses and can potentially guide subsequent medical decisions. The immense size of whole-slide-images (WSIs), however, poses a challenge in terms of computation time. In this re...

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Detalles Bibliográficos
Autores principales: Wilm, Frauke, Benz, Michaela, Bruns, Volker, Baghdadlian, Serop, Dexl, Jakob, Hartmann, David, Kuritcyn, Petr, Weidenfeller, Martin, Wittenberg, Thomas, Merkel, Susanne, Hartmann, Arndt, Eckstein, Markus, Geppert, Carol Immanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Digital Pathology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920491/
https://www.ncbi.nlm.nih.gov/pubmed/35300344
http://dx.doi.org/10.1117/1.JMI.9.2.027501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920491/
https://www.ncbi.nlm.nih.gov/pubmed/35300344
http://dx.doi.org/10.1117/1.JMI.9.2.027501

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