Gynecology & Obstetrics
Open Access
ISSN: 2161-0932
ISSN: 2161-0932
Mehbob Ali
India
Review Article
Novel Benchmark Database of Digitized and Calibrated Cervical Cells for Artificial Intelligence Based Screening of Cervical Cancer
Author(s): Abid Sarwar, Jyotsna Suri, Vinod Sharma and Mehbob AliAbid Sarwar, Jyotsna Suri, Vinod Sharma and Mehbob Ali
Objective: The primary objective of this research work is to develop a novel benchmark database of digitized and calibrated, cervical cells obtained from slides of Papanicolaou smear test, which is done for screening of cervical cancer. This database can serve as a potential tool for designing, developing, training, testing and validating various Artificial intelligence based systems for prognosis of cervical cancer by characterization and classification of Papanicolaou smear images. The database can also be used by other researchers for comparative analysis of working efficiencies of various machine learning and image processing algorithms. The database can be obtained by sending a request to the corresponding author. Besides developing a rich machine learning database we have also presented a novel artificial intelligence based hybrid ensemble technique for efficien.. View More»