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Assessing Transfer Learning Models for Medical Image Classification: A Comparative Study on Alzheimer’s MRI, Chest CT-Scan, and Chest X-ray Images

Crossref DOI link: https://doi.org/10.35940/ijrte.C7897.0912323

Published Online: 2023-09-30

Update policy: https://doi.org/10.35940/beiesp.crossmarkpolicy

Authors

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M. Lupague, Ryan Marcus Jeremy http://orcid.org/0009-0003-6648-8803
Mabborang, Romie C. http://orcid.org/0000-0002-3716-9673
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Bansil, Prof. Alvin G. http://orcid.org/0009-0002-0593-9773
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Lupague, Melinda M.

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More Information

Journal Name

: International Journal of Recent Technology and Engineering (IJRTE)

Funding

: No, I did not receive.

Conflicts of Interest

: No conflicts of interest to the best of our knowledge.

Ethical Approval and Consent to Participate

: No, the article does not require ethical approval and consent to participate with evidence.

Availability of Data and Material

: Yes, The data and materials connected to our research are publicly accessible. They guide us in our quest for knowledge. We provide information about specific datasets: The Alzheimer's dataset contains images categorized into four classes, managed by [16]. The Chest CT-Scan images Dataset, curated by [17], offers valuable insights.

Authors Contributions

: All authors having equal contribution for this article.