Current Technology Development in Cancer Detection using Artificial Intelligence: Methodical Exploration and Interpretation

Abstract

Cancer is a deadly disease frequently occurred by hereditary disorders and an assortment of obsessive changes. Carcinogenic cells are strange regions frequently grown in any part of the human body. Malignant growth otherwise called cancer should be rapidly and accurately identified in the early stage. The foremost objective of this work is to make a complete review of the classification of cancers namely skin, lung, liver, breast, and brain cancers using various kinds of the computational approach. This study focus on how the cancers are diagnosed earlier with the help of AI techniques. A few conditions of state of art strategies are classified based on similar clusters and results are interpreted on benchmark datasets using performance evaluation metrics namely accuracy, precision, sensitivity, and specificity. At last, challenges are mentioned for conceivable future work.

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