Nonmelanoma Skin Cancer Studies

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

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• CEMAL CİNGİ

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• ŞABAN ÖZTÜRK
• UMUT ÖZKAYA

Skin cancer represents a significant global health concern, where early and precise diagnosis plays a pivotal role in improving treatment efficacy and patient survival rates. Nonetheless, the inherent visual similarities between benign and malignant lesions pose substantial challenges to accurate classification. To ov…

• İSHAK PAÇAL

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• İSHAK PAÇAL

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• BENGÜ NİSA AKAY

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• BENGÜ NİSA AKAY
• MUHİT ÖZCAN
• OSMAN İLHAN

The use of deep learning in the field of image processing is increasing. In this study, a new method based on Convolutional Neural Network is proposed to detect skin diseases automatically from Dermoscopy images. Skin cancer is one of the common diseases in the community. In this article, the skin images were taken fr…

BACKGROUND: The similarity between clinical pictures of pigmented actinic keratosis (PAK) and lentigo maligna (LM) is well known. OBJECTIVES: To investigate the frequency of dermatoscopic findings suggestive of LM/lentigo maligna melanoma (LMM) in the other facial pigmented skin lesions (FPSL) and to assess the distin…

• BENGÜ NİSA AKAY

BACKGROUND: The similarity between clinical pictures of pigmented actinic keratosis (PAK) and lentigo maligna (LM) is well known. OBJECTIVES: To investigate the frequency of dermatoscopic findings suggestive of LM/lentigo maligna melanoma (LMM) in the other facial pigmented skin lesions (FPSL) and to assess the distin…

• BENGÜ NİSA AKAY