Automatic Detection of Cervical Cancer Cells by a Two-Level Cascade Classification System

We proposed a method for automatic detection of cervical cancer cells in images captured from thin liquid based cytology slides. We selected 20,000 cells in images derived from 120 different thin liquid based cytology slides, which include 5000 epithelial cells (normal 2500, abnormal 2500), lymphoid...

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Detalles Bibliográficos
Autores principales: Su, Jie, Xu, Xuan, He, Yongjun, Song, Jinming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4889791/
https://www.ncbi.nlm.nih.gov/pubmed/27298758
http://dx.doi.org/10.1155/2016/9535027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4889791/
https://www.ncbi.nlm.nih.gov/pubmed/27298758
http://dx.doi.org/10.1155/2016/9535027

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