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Connection

Metin Gurcan to Image Enhancement

This is a "connection" page, showing publications Metin Gurcan has written about Image Enhancement.

 
Connection Strength
 
 
 
0.781
 
  1. 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.
    View in: PubMed
    Score: 0.148
  2. 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.
    View in: PubMed
    Score: 0.133
  3. 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.
    View in: PubMed
    Score: 0.122
  4. 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.
    View in: PubMed
    Score: 0.105
  5. 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.
    View in: PubMed
    Score: 0.105
  6. 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.
    View in: PubMed
    Score: 0.098
  7. 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.
    View in: PubMed
    Score: 0.039
  8. 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.
    View in: PubMed
    Score: 0.031
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.