Automated Cancer Diagnostics via Analysis of Optical and Chemical Images by Deep and Shallow Learning

Optical microscopy has long been the gold standard to analyse tissue samples for the diagnostics of various diseases, such as cancer. The current diagnostic workflow is time-consuming and labour-intensive, and manual annotation by a qualified pathologist is needed. With the ever-increasing number of...

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Detalles Bibliográficos
Autores principales: Isberg, Olof Gerdur, Giunchiglia, Valentina, McKenzie, James S., Takats, Zoltan, Jonasson, Jon Gunnlaugur, Bodvarsdottir, Sigridur Klara, Thorsteinsdottir, Margret, Xiang, Yuchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143055/
https://www.ncbi.nlm.nih.gov/pubmed/35629959
http://dx.doi.org/10.3390/metabo12050455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143055/
https://www.ncbi.nlm.nih.gov/pubmed/35629959
http://dx.doi.org/10.3390/metabo12050455

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