OpenAlex topic

Nonmelanoma Skin Cancer Studies

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 1,776 works 53 author topics

Works

1,776 works

Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks 2019
YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.0%
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 in Dermoscopic Images with Combination of YOLO and GrabCut Algorithm 2019
YÖKSİS SJR Q2 JCR Q1 OpenAlex top 1% OpenAlex 99.1%
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
InSiNet: a deep convolutional approach to skin cancer detection and segmentation 2022
OpenAlex top 1% OpenAlex 99.2%
No abstract yet.
Epidemiology and Economic Burden of Nonmelanoma Skin Cancer 2012
YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 93.8%
No abstract yet.
- CEMAL CİNGİ
Skin Lesion Segmentation with Improved Convolutional Neural Network 2020
YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.6%
No abstract yet.
- ŞABAN ÖZTÜRK
- UMUT ÖZKAYA
A robust deep learning framework for multiclass skin cancer classification 2025
YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.9%
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
A novel CNN-ViT-based deep learning model for early skin cancer diagnosis 2025
YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.9%
No abstract yet.
- İSHAK PAÇAL
Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skin 2017
YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.0%
No abstract yet.
- BENGÜ NİSA AKAY
Extracorporeal photochemotherapy in mycosis fungoides 2017
YÖKSİS SJR Q3 JCR Q4 OpenAlex top 10% OpenAlex 97.0%
No abstract yet.
Detection of Skin Diseases from Dermoscopy Image Using the combination of Convolutional Neural Network and One-versus-All 2020
OpenAlex top 10% OpenAlex 97.0%
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…
Dermatoscopy of flat pigmented facial lesions diagnostic challenge between pigmented actinic keratosis and lentigo maligna 2010
YÖKSİS SJR Q1 JCR Q1 OpenAlex 87.2%
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
Development of Hodgkin s lymphoma under bexarotene treatment for Sézary syndrome and review of the literature 2010
YÖKSİS SJR Q2 JCR Q2 OpenAlex 87.2%
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

Academicians

53 academicians