Cutaneous Melanoma Detection and Management

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• MERDAN SERİN

Importance: Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, the most common types of skin cancer are nonpigmented and nonmelanocytic, and are more difficult to diagnose. Objective: To compare the accuracy of a CNN-based classifier with that…

• BENGÜ NİSA AKAY

Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin cancer by computerized systems. However, automatic segmentation of skin lesions in dermoscopic images is a challenging task owing to difficulties including artifacts (hairs, gel bubbles, ruler markers), indistinct boundaries, low…

• HALİL MURAT ÜNVER

BACKGROUND: Vitiligo is a common skin disease characterized by autoimmune melanocyte destruction. Recent genetic studies suggest a lower susceptibility to melanoma in patients with vitiligo; however, lifetime melanoma prevalence in patients with vitiligo has not previously been studied. Nonmelanoma skin cancer (NMSC)…

BACKGROUND: The aim of this study was to test the linguistic validation of the Turkish version of the Dermatology Life Quality Index (DLQI) for Turkish speaking dermatology patients. METHODS: The DLQI is a 10-item dermatology specific index developed originally in English. The methodology of this study consists of fou…

• MUSTAFA TURHAN ŞAHİN

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IMPORTANCE: The use of artificial intelligence (AI) is accelerating in all aspects of medicine and has the potential to transform clinical care and dermatology workflows. However, to develop image-based algorithms for dermatology applications, comprehensive criteria establishing development and performance evaluation…

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• CEMAL CİNGİ

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• ZAFER CÖMERT

Melanoma is a deadly skin cancer that breaks out in the skin’s pigment cells on the skin surface. Melanoma causes 75% of the skin cancer-related deaths. This disease can be diagnosed by a dermatology specialist through the interpretation of the dermoscopy images in accordance with ABCD rule. Even if dermatology expert…

• MURAT KÖKLÜ

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• ŞABAN ÖZTÜRK
• UMUT ÖZKAYA