Exploring the Cervical Cancer Prediction by Machine Learning and Deep Learning with Artificial Intelligence Approaches

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2022 by IJETT Journal
Volume-70 Issue-7
Year of Publication : 2022
Authors : Dr. Surendiran R, Dr. Thangamani M, Monisha S, Rajesh P
DOI : 10.14445/22315381/IJETT-V70I7P211

How to Cite?

Dr. Surendiran R, Dr. Thangamani M, Monisha S, Rajesh P, "Exploring the Cervical Cancer Prediction by Machine Learning and Deep Learning with Artificial Intelligence Approaches" International Journal of Engineering Trends and Technology, vol. 70, no. 7, pp. 94-107, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I7P211

Abstract
Cervical cancer is among the most prevalent and lethal tumours that affect women. Despite this, this cancer is completely curable if diagnosed at a precancerous stage. A standard diagnostic method for cervical cancer detection is the Pap smear system. Due to negligence, the hand-operated screening technology has a significant false-positive rate. Deep learning-based computer-aided diagnostic approaches are widely developed to divide and classify cervical cytology images automatically to improve the efficiency and effectiveness of manual screening. This survey presents an overview of deep learning and machine-learning algorithms for evaluating cervical cancer. To begin, we will discuss deep learning and machine learning, the various simple models employed in this subject. This paper provides a summary of previous research and even its methodology.

Keywords
Machine Learning (ML), Support Vector Machine (SVM), Deep Learning (DL), Cervical Cancer, Random Forest (RF), Logistic Regression (LR), K- Nearest Neighbor (KNN), Gestational Diabetes Mellitus (GDM).

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