Deep Learning Assisted Cervical Cancer Detection based on Artificial Neural Network
Natarajan Meenakshisundaram, G. Ramkumar · 2023
After widespread breast cancer, cervical cancer has risen to the status of the third most frequent malignancy in the in-universe population. The majority of cancer cases have a correlation to the risk of infection with human papillomavirus. About 37% of cancer cases may be prevented with preventive care, making it the most expensive method of cancer treatment. Nevertheless, due to human error, many false-positive results are produced by this manual testing technique. Many scientists have looked at deep learningmodels for cervical cell classification. When it comes to predicting characteristics from a cancer image collection, the Random Forest (RF) method is by far the most often used approach. If too many decision trees are utilized, nevertheless, the RF approach might become too sluggish and ineffective for real-time predictions. In order to forecast the occurrence of cervical cancer, the authors of this study suggest a deep learning model based on ANN. Python is used to implement the suggested ANN model, along with other common ML models, and a wide range of performance metrics are collected and analyzed. However, the suggested ANNmodel performed superior to the state-of-the-art approaches.