A Review: Various Challenges and Causes based on Cervical Cancer

Over the last decade, cervical cancer has affected human life worldwide. So, we require an early-stage detection module to prevent the disease and successful treatment rather than recognizing the issue at an advanced stage. This research aims to determine the relevance of conventional and machine-learning methods for pre-cancerous medical checkups. Also, this study focuses on various challenges and causes behind these diseases. This helps find the most accurate health information to treat lesions and conditions effectively. Some patients need to undergo additional examinations to observe changes and the impact of cancer on them and determine how they should be treated. It may be more beneficial to medical treatment for cervical cancer diagnosis. To optimize clinical operations by boosting system and resource allocation for identifying diseases on time. These suggestions can help prevent deadly cancer and contribute to a healthy life. This cancer can be effectively cured if it is discovered early by advanced deep-learning methods.