International Research Journal of Education and Technology

In order to analyze the input data and pinpoint three qualities, three tests—the data improvement test, the improvement ratio test, and the chi-square test—were utilized. This kind of problem with lesion diagnosis is brought on by things like hazy lesion borders, reduced color contrast, location-dependent outline variations, and complicated lesion structures. Medical personnel and researchers can save many lives by detecting the public health burden issues early and treating them appropriately to stop them from spreading to other organs of the body.A subject has a probability of developing melanoma if their skin's look changes in an odd way. Combining dermatology expertise with computer vision methods for effective melanoma detection can lead to improved solutions. Therefore, it is crucial to create alternative detection methods to help clinicians identify melanoma at an early stage.

Keywords : Artificial Intelligence, Melanoma Diagnostic, Deep Convolutional Neural Network