Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels

BACKGROUND: Advances in image analysis and computational techniques have facilitated automatic detection of critical features in histopathology images. Detection of nuclei is critical for squamous epithelium cervical intraepithelial neoplasia (CIN) classification into normal, CIN1, CIN2, and CIN3 gr...

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Detalles Bibliográficos
Autores principales: Sornapudi, Sudhir, Stanley, Ronald Joe, Stoecker, William V., Almubarak, Haidar, Long, Rodney, Antani, Sameer, Thoma, George, Zuna, Rosemary, Frazier, Shelliane R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869967/
https://www.ncbi.nlm.nih.gov/pubmed/29619277
http://dx.doi.org/10.4103/jpi.jpi_74_17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869967/
https://www.ncbi.nlm.nih.gov/pubmed/29619277
http://dx.doi.org/10.4103/jpi.jpi_74_17

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