Image Analysis in Digital Pathology: Combining Automated Assessment of Ki67 Staining Quality with Calculation of Ki67 Cell Proliferation Index

Image analysis in digital pathology : Combining automated assessment of Ki67 staining quality with calculation of Ki67 cell proliferation index

[1]  Carolina Wählby,et al.  Global gray‐level thresholding based on object size , 2016, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[2]  K. Gelmon,et al.  Ki67 in breast cancer: prognostic and predictive potential. , 2010, The Lancet. Oncology.

[3]  A. Ruifrok,et al.  Quantification of histochemical staining by color deconvolution. , 2001, Analytical and quantitative cytology and histology.

[4]  Johannes Gerdes,et al.  Production of a mouse monoclonal antibody reactive with a human nuclear antigen associated with cell proliferation , 1983, International journal of cancer.

[5]  Joakim Lindblad,et al.  Blind Color Decomposition of Histological Images , 2013, IEEE Transactions on Medical Imaging.

[6]  H. Halicka Where to “cut‐off”? , 2018, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[7]  C. Sotiriou,et al.  Ki-67 as prognostic marker in early breast cancer: a meta-analysis of published studies involving 12 155 patients , 2007, British Journal of Cancer.

[8]  Peter Bankhead,et al.  QuPath: Open source software for digital pathology image analysis , 2017, Scientific Reports.

[9]  Anne-Sofie Wessel Lindberg,et al.  Quantitative tumor heterogeneity assessment on a nuclear population basis , 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[10]  Anne E Carpenter,et al.  CellProfiler: image analysis software for identifying and quantifying cell phenotypes , 2006, Genome Biology.

[11]  Ewert Bengtsson,et al.  Automatic Quantification of Immunohistochemically Stained Cell Nuclei Based on Standard Reference Cells , 1998, Analytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology.

[12]  Béla Molnár,et al.  An optimized image analysis algorithm for detecting nuclear signals in digital whole slides for histopathology , 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.