Metin Gurcan to Image Enhancement
This is a "connection" page, showing publications Metin Gurcan has written about Image Enhancement.
Connection Strength
0.620
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Kornaropoulos EN, Niazi MK, Lozanski G, Gurcan MN. Histopathological image analysis for centroblasts classification through dimensionality reduction approaches. Cytometry A. 2014 Mar; 85(3):242-55.
Score: 0.118
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Oger M, Belhomme P, Gurcan MN. A general framework for the segmentation of follicular lymphoma virtual slides. Comput Med Imaging Graph. 2012 Sep; 36(6):442-51.
Score: 0.106
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Ababneh SY, Prescott JW, Gurcan MN. Automatic graph-cut based segmentation of bones from knee magnetic resonance images for osteoarthritis research. Med Image Anal. 2011 Aug; 15(4):438-48.
Score: 0.097
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Prescott JW, Priddy M, Best TM, Pennell M, Swanson MS, Haq F, Jackson RD, Gurcan MN. An automated method to detect interstitial adipose tissue in thigh muscles for patients with osteoarthritis. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:6360-3.
Score: 0.083
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Prescott JW, Pennell M, Best TM, Swanson MS, Haq F, Jackson R, Gurcan MN. An automated method to segment the femur for osteoarthritis research. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:6364-7.
Score: 0.083
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Qureshi H, Sertel O, Rajpoot N, Wilson R, Gurcan M. Adaptive discriminant wavelet packet transform and local binary patterns for meningioma subtype classification. Med Image Comput Comput Assist Interv. 2008; 11(Pt 2):196-204.
Score: 0.078
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Belhomme P, Toralba S, Plancoulaine B, Oger M, Gurcan MN, Bor-Angelier C. Heterogeneity assessment of histological tissue sections in whole slide images. Comput Med Imaging Graph. 2015 Jun; 42:51-5.
Score: 0.031
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Kong H, Gurcan M, Belkacem-Boussaid K. Partitioning histopathological images: an integrated framework for supervised color-texture segmentation and cell splitting. IEEE Trans Med Imaging. 2011 Sep; 30(9):1661-77.
Score: 0.024