Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images

OBJECTIVE: Automated Pap smear cervical screening is one of the most effective imaging based cancer detection tools used for categorizing cervical cell images as normal and abnormal. Traditional classification methods depend on hand-engineered features and show limitations in large, diverse datasets...

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Detalles Bibliográficos
Autores principales: B, Shanthi P, Faruqi, Faraz, S, Hareesha K, Kudva, Ranjini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062987/
https://www.ncbi.nlm.nih.gov/pubmed/31759371
http://dx.doi.org/10.31557/APJCP.2019.20.11.3447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062987/
https://www.ncbi.nlm.nih.gov/pubmed/31759371
http://dx.doi.org/10.31557/APJCP.2019.20.11.3447

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