Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images

Pathological evaluation of tumor tissue is pivotal for diagnosis in cancer patients and automated image analysis approaches have great potential to increase precision of diagnosis and help reduce human error. In this study, we utilize several computational methods based on convolutional neural netwo...

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Detalles Bibliográficos
Autores principales: Khosravi, Pegah, Kazemi, Ehsan, Imielinski, Marcin, Elemento, Olivier, Hajirasouliha, Iman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828543/
https://www.ncbi.nlm.nih.gov/pubmed/29292031
http://dx.doi.org/10.1016/j.ebiom.2017.12.026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828543/
https://www.ncbi.nlm.nih.gov/pubmed/29292031
http://dx.doi.org/10.1016/j.ebiom.2017.12.026

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