OpenAlex topic

Cutaneous Melanoma Detection and Management

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

OpenAlex 2,008 works 114 author topics

Works

2,008 works

Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomas 2015
YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.7%
No abstract yet.
- MERDAN SERİN
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
Decreased risk of melanoma and nonmelanoma skin cancer in patients with vitiligo: a survey among 1307 patients and their partners 2012
OpenAlex top 10% OpenAlex 95.2%
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)…
Cross validation of Turkish version of dermatology life quality index 2006
YÖKSİS SJR Q2 JCR Q4 OpenAlex 73.4%
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
EANM-EORTC general recommendations for sentinel node diagnostics in melanoma 2009
OpenAlex top 10% OpenAlex 97.4%
No abstract yet.
InSiNet: a deep convolutional approach to skin cancer detection and segmentation 2022
OpenAlex top 1% OpenAlex 99.2%
No abstract yet.
Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology 2021
OpenAlex top 10% OpenAlex 98.7%
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…
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
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm 2021
YÖKSİS SJR Q2 JCR Q2 OpenAlex top 1% OpenAlex 99.0%
No abstract yet.
- ZAFER CÖMERT
Skin Lesion Classification using Machine Learning Algorithms 2017
YÖKSİS TR Index SJR Q4 OpenAlex 84.7%
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
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

Academicians

114 academicians