Sparse coding of pathology slides compared to transfer learning with deep neural networks

BACKGROUND: Histopathology images of tumor biopsies present unique challenges for applying machine learning to the diagnosis and treatment of cancer. The pathology slides are high resolution, often exceeding 1GB, have non-uniform dimensions, and often contain multiple tissue slices of varying sizes...

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Detalles Bibliográficos
Autores principales: Fischer, Will, Moudgalya, Sanketh S., Cohn, Judith D., Nguyen, Nga T. T., Kenyon, Garrett T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302377/
https://www.ncbi.nlm.nih.gov/pubmed/30577746
http://dx.doi.org/10.1186/s12859-018-2504-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302377/
https://www.ncbi.nlm.nih.gov/pubmed/30577746
http://dx.doi.org/10.1186/s12859-018-2504-8

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