LibMI: An Open Source Library for Efficient Histopathological Image Processing

BACKGROUND: Whole-slide images (WSIs) as a kind of image data are rapidly growing in the digital pathology domain. With unusual high resolution, these images make them hard to be supported by conventional tools or file formats. Thus, it obstructs data sharing and automated analysis. Here, we propose...

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Detalles Bibliográficos
Autores principales: Dong, Yuxin, Puttapirat, Pargorn, Deng, Jingyi, Zhang, Xiangrong, Li, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518208/
https://www.ncbi.nlm.nih.gov/pubmed/33042605
http://dx.doi.org/10.4103/jpi.jpi_11_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518208/
https://www.ncbi.nlm.nih.gov/pubmed/33042605
http://dx.doi.org/10.4103/jpi.jpi_11_20

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