Pre Clinical Diagnosis of MelanomaTumor in skin using Machine Learning Techniques

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P. Jemi Gold,G. Indra, K.Akila,P. Pavithra

Abstract

            In today’s environment, medical care issues have become a blistering issue, and problems such as the unbalance and inadequate distribution of medical services has become increasingly evident. In this case, the application of ML has been the inevitable pattern in the modern growth of medical treatment. Many cancers and tumors have emerged in the world in recent years as a result of the evolution of cosmetics use. Melanoma is one such deadly cancer or tumor. Melanoma is a cancerous condition in which the pigment-producing cells that give the skin its colour become cancerous. A recent, irregular growth or a shift in an existing mole may be signs. Melanomas can develop on any part of the body. The proposal's key goal is to use effective machine learning methods to detect melanoma tumors.This work involves classification and prediction by novel methods to diagnose the melanoma tumor.

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How to Cite
P. Jemi Gold,G. Indra, K.Akila,P. Pavithra. (2021). Pre Clinical Diagnosis of MelanomaTumor in skin using Machine Learning Techniques. Annals of the Romanian Society for Cell Biology, 3494–3501. Retrieved from https://www.annalsofrscb.ro/index.php/journal/article/view/4996
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