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Connection

Metin Gurcan to Prognosis

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

 
Connection Strength
 
 
 
1.199
 
  1. Niazi MKK, Senaras C, Pennell M, Arole V, Tozbikian G, Gurcan MN. Relationship between the Ki67 index and its area based approximation in breast cancer. BMC Cancer. 2018 Sep 03; 18(1):867.
    View in: PubMed
    Score: 0.616
  2. Fauzi MFA, Chen W, Knight D, Hampel H, Frankel WL, Gurcan MN. Tumor Budding Detection System in Whole Slide Pathology Images. J Med Syst. 2019 Dec 18; 44(2):38.
    View in: PubMed
    Score: 0.168
  3. Gurcan MN, Boucheron LE, Can A, Madabhushi A, Rajpoot NM, Yener B. Histopathological image analysis: a review. IEEE Rev Biomed Eng. 2009; 2:147-71.
    View in: PubMed
    Score: 0.083
  4. Cooper L, Sertel O, Kong J, Lozanski G, Huang K, Gurcan M. Feature-based registration of histopathology images with different stains: an application for computerized follicular lymphoma prognosis. Comput Methods Programs Biomed. 2009 Dec; 96(3):182-92.
    View in: PubMed
    Score: 0.081
  5. Sertel O, Catalyurek UV, Shimada H, Gurcan MN. Computer-aided prognosis of neuroblastoma: detection of mitosis and karyorrhexis cells in digitized histological images. Annu Int Conf IEEE Eng Med Biol Soc. 2009; 2009:1433-6.
    View in: PubMed
    Score: 0.079
  6. Gurcan MN, Kong J, Sertel O, Cambazoglu BB, Saltz J, Catalyurek U. Computerized pathological image analysis for neuroblastoma prognosis. AMIA Annu Symp Proc. 2007 Oct 11; 304-8.
    View in: PubMed
    Score: 0.072
  7. Gurcan MN, Pan T, Shimada H, Saltz J. Image analysis for neuroblastoma classification: segmentation of cell nuclei. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:4844-7.
    View in: PubMed
    Score: 0.064
  8. Niazi MKK, Chung JH, Heaton-Johnson KJ, Martinez D, Castellanos R, Irwin MS, Master SR, Pawel BR, Gurcan MN, Weiser DA. Advancing Clinicopathologic Diagnosis of High-risk Neuroblastoma Using Computerized Image Analysis and Proteomic Profiling. Pediatr Dev Pathol. 2017 Sep-Oct; 20(5):394-402.
    View in: PubMed
    Score: 0.035
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.