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Connection

Metin Gurcan to Immunohistochemistry

This is a "connection" page, showing publications Metin Gurcan has written about Immunohistochemistry.
Connection Strength

1.639
  1. Niazi MKK, Abas FS, Senaras C, Pennell M, Sahiner B, Chen W, Opfer J, Hasserjian R, Louissaint A, Shana'ah A, Lozanski G, Gurcan MN. Nuclear IHC enumeration: A digital phantom to evaluate the performance of automated algorithms in digital pathology. PLoS One. 2018; 13(5):e0196547.
    View in: PubMed
    Score: 0.550
  2. Samsi S, Lozanski G, Shana'ah A, Krishanmurthy AK, Gurcan MN. Detection of follicles from IHC-stained slides of follicular lymphoma using iterative watershed. IEEE Trans Biomed Eng. 2010 Oct; 57(10):2609-12.
    View in: PubMed
    Score: 0.320
  3. Sertel O, Lozanski G, Shana'ah A, Gurcan MN. Computer-aided detection of centroblasts for follicular lymphoma grading using adaptive likelihood-based cell segmentation. IEEE Trans Biomed Eng. 2010 Oct; 57(10):2613-6.
    View in: PubMed
    Score: 0.319
  4. Tavolara TE, Niazi MKK, Arole V, Chen W, Frankel W, Gurcan MN. A modular cGAN classification framework: Application to colorectal tumor detection. Sci Rep. 2019 12 12; 9(1):18969.
    View in: PubMed
    Score: 0.154
  5. Senaras C, Niazi MKK, Sahiner B, Pennell MP, Tozbikian G, Lozanski G, Gurcan MN. Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images. PLoS One. 2018; 13(5):e0196846.
    View in: PubMed
    Score: 0.137
  6. Abas FS, Shana'ah A, Christian B, Hasserjian R, Louissaint A, Pennell M, Sahiner B, Chen W, Niazi MKK, Lozanski G, Gurcan M. Computer-assisted quantification of CD3+ T cells in follicular lymphoma. Cytometry A. 2017 06; 91(6):609-621.
    View in: PubMed
    Score: 0.126
  7. Jordan J, Goldstein JS, Jaye DL, Gurcan M, Flowers CR, Cooper LAD. Informatics Approaches to Address New Challenges in the Classification of Lymphoid Malignancies. JCO Clin Cancer Inform. 2018; 2.
    View in: PubMed
    Score: 0.034
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.