Parallel multiple instance learning for extremely large histopathology image analysis

BACKGROUND: Histopathology images are critical for medical diagnosis, e.g., cancer and its treatment. A standard histopathology slice can be easily scanned at a high resolution of, say, 200,000×200,000 pixels. These high resolution images can make most existing imaging processing tools infeasible or...

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Detalles Bibliográficos
Autores principales: Xu, Yan, Li, Yeshu, Shen, Zhengyang, Wu, Ziwei, Gao, Teng, Fan, Yubo, Lai, Maode, Chang, Eric I-Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543478/
https://www.ncbi.nlm.nih.gov/pubmed/28774262
http://dx.doi.org/10.1186/s12859-017-1768-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543478/
https://www.ncbi.nlm.nih.gov/pubmed/28774262
http://dx.doi.org/10.1186/s12859-017-1768-8

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