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...

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Detalles Bibliográficos
Autores principales: Sanyal, Parikshit, Barui, Sanghita, Deb, Prabal, Sharma, Harish Chander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592125/
https://www.ncbi.nlm.nih.gov/pubmed/31359913
http://dx.doi.org/10.4103/JOC.JOC_201_18

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592125/
https://www.ncbi.nlm.nih.gov/pubmed/31359913
http://dx.doi.org/10.4103/JOC.JOC_201_18

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