Performance of a convolutional neural network in screening liquid based cervical cytology smears.
Context: Cervical cancer is the second most common cancer in women. The liquid based cervical cytology (LBCC) is a useful tool of choice for screening cervical cancer. Aims: To train a convolutional neural network (CNN) to identify abnormal foci from LBCC smears. Settings and Design: We have chosen...
| Publicado en: | Journal of Cytology Vol. 36; no. 3; pp. 146 - 152 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wolters Kluwer India Pvt Ltd
Jul-Sep2019
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| Acceso en línea: | Ver este registro en EBSCOhost |