Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks
IEEE Journal of Biomedical and Health Informatics(2022)
Abstract
Cervical cancer is one of the common cancers among women and it causes significant mortality in many developing countries. Diagnosis of cervical lesions is done using pap smear test or visual inspection using acetic acid (staining). Digital colposcopy, an inexpensive methodology, provides painless and efficient screening results. Therefore, automating cervical cancer screening using colposcopy ima...
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Key words
Cervical cancer,Noise reduction,Manuals,Image segmentation,Deep learning,Generative adversarial networks,Medical diagnostic imaging
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