Deri hastalıklarının risk değerlendirmesi için görüntü işlemede bulanık teknikler
2021
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Advisor: Prof. Dr. Emel Kuruoğlu Kandemir
Abstract (EN)
Many skin diseases are now documented in the literature. There may be some difficulties in diagnosing them while it is simple to observe them. Mole is a pigmented spot or small permanent protuberance on the human body that can be divided into malignant and benign categories. Melanoma is the medical term for a malignant mole. Melanoma-induced skin cancer is one of these observable diseases. Early diagnosis is critical for this cancer, which is relatively easy to treat once discovered. But disease diagnosis is a difficult stage in medicine. Diagnosis is based on a patient's signs, symptoms, physical examination, and some tests. However, a single human experience or opportunities may not be enough for the correct diagnosis. Such situations cause problems when doctors make the diagnosis. Developing computer technologies and machine learning techniques are applied to systems that will help doctors in the early diagnosis of diseases. In this study, a decision support system is studied for the detection of melanoma.
Author
Dr. İsmail Canoğlu
Institution
How to Cite
İsmail Canoğlu (Master Thesis). Deri hastalıklarının risk değerlendirmesi için görüntü işlemede bulanık teknikler, 2021, Dokuz Eylül University.
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