Table 5.

Data extraction form.

Purpose	Metadata
General Information	Tables 9 and 10 provide the information extraction frame that is utilized for all the chosen essential investigations to do a top-to-bottom study. It describes the author’s name of the paper, published year, image type, model, data set, disease, and accuracy of the proposed techniques.
Specific Information	Tables 11 and 12 demonstrate the work of the researchers that they have done by using different methodologies in their research papers, the prediction of their future work, and the advantages of their research.
Explicit Information	Tables 13 and 14 determine the gaps in the review articles on deep learning and machine learning papers.