M
M. Emre Celebi
Researcher at University of Central Arkansas
Publications - 185
Citations - 10617
M. Emre Celebi is an academic researcher from University of Central Arkansas. The author has contributed to research in topics: Cluster analysis & Color quantization. The author has an hindex of 44, co-authored 176 publications receiving 8115 citations. Previous affiliations of M. Emre Celebi include University of Texas at Arlington & Louisiana State University.
Papers
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Proceedings ArticleDOI
Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC)
Noel C. F. Codella,David A. Gutman,M. Emre Celebi,Brian Helba,Michael A. Marchetti,Stephen W. Dusza,Aadi Kalloo,Konstantinos Liopyris,Nabin K. Mishra,Harald Kittler,Allan C. Halpern +10 more
TL;DR: The most recent edition of the dermoscopic image analysis benchmark challenge as discussed by the authors was organized to support research and development of algorithms for automated diagnosis of melanoma, the most lethal skin cancer.
Journal ArticleDOI
A comparative study of efficient initialization methods for the k-means clustering algorithm
TL;DR: It is demonstrated that popular initialization methods often perform poorly and that there are in fact strong alternatives to these methods, and eight commonly used linear time complexity initialization methods are compared.
Posted Content
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Noel C. F. Codella,Veronica Rotemberg,Philipp Tschandl,M. Emre Celebi,Stephen W. Dusza,David A. Gutman,Brian Helba,Aadi Kalloo,Konstantinos Liopyris,Michael A. Marchetti,Harald Kittler,Allan C. Halpern +11 more
TL;DR: This work summarizes the results of the largest skin image analysis challenge in the world, hosted by the International Skin Imaging Collaboration (ISIC), a global partnership that has organized the world's largest public repository of dermoscopic images of skin.
Journal ArticleDOI
A Methodological Approach to the Classification of Dermoscopy Images
M. Emre Celebi,Hassan A. Kingravi,Bakhtiyar Uddin,Hitoshi Iyatomi,Y. Alp Aslandogan,William V. Stoecker,Randy Hays Moss +6 more
TL;DR: A methodological approach to the classification of pigmented skin lesions in dermoscopy images is presented and the issue of class imbalance is addressed using various sampling strategies and the classifier generalization error is estimated using Monte Carlo cross validation.
Journal ArticleDOI
Lesion border detection in dermoscopy images.
TL;DR: A systematic overview of the recent border detection methods in the literature paying particular attention to computational issues and evaluation aspects is presented.