Recent trends and analysis of Generative Adversarial Networks in Cervical Cancer Imaging

09/23/2022

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by   Tamanna Sood, et al.

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Cervical cancer is one of the most common types of cancer found in females. It contributes to 6-29 Papilloma Virus (HPV). The 5-year survival chances of cervical cancer range from 17 of this disease helps in better treatment and survival rate of the patient. Many deep learning algorithms are being used for the detection of cervical cancer these days. A special category of deep learning techniques known as Generative Adversarial Networks (GANs) are catching up with speed in the screening, detection, and classification of cervical cancer. In this work, we present a detailed analysis of the recent trends relating to the use of various GAN models, their applications, and the evaluation metrics used for their performance evaluation in the field of cervical cancer imaging.