Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort

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  • Additional Information
    • Publication Information:
      IEEE
    • Publication Date:
      2019
    • Abstract:
      Analysis and interpretation of stained histopathology sections is one of the main tools in cancer diagnosis and prognosis. In addition to the information which is typically extracted by trained pathologists, there is also information that is not yet exploited, simply because we do not yet understand the impact of all cellular and tissular features that could be predictive of outcome. In this paper, we address a question that can currently not be solved by pathologists: the prediction of treatment efficiency for Triple Negative Breast Cancer (TNBC) patients from biopsy data.
    • Contents Note:
      Conference Acronym: ISBI
    • Author Affiliations:
      CBIO-Centre de Bioinformatique, MINES ParisTech PSL Research University, Fontainebleau, 77300, France
      Service de Pathologie, Institut Curie, Paris, F-75248, France
      Residual Tumor& Response to Treatment Laboratory RT2Lab, Institut Curie
    • ISBN:
      978-1-5386-3641-1
    • ISSN:
      1945-8452
    • Relation:
      2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)
    • Accession Number:
      10.1109/ISBI.2019.8759205
    • Rights:
      Copyright 2019, IEEE
    • AMSID:
      8759205
    • Conference Acronym:
      ISBI
    • Date of Current Version:
      2019
    • Document Subtype:
      IEEE Conference
    • Notes:
      Conference Location: Venice, Italy, Italy

      Conference Start Date: 8 April 2019

      Conference End Date: 11 April 2019
    • Accession Number:
      edseee.8759205
  • Citations
    • ABNT:
      NAYLOR, P. et al. Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium on, [s. l.], p. 933–937, 2019. DOI 10.1109/ISBI.2019.8759205. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.8759205. Acesso em: 31 out. 2020.
    • AMA:
      Naylor P, Boyd J, Lae M, Reyal F, Walter T. Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium on. April 2019:933-937. doi:10.1109/ISBI.2019.8759205
    • APA:
      Naylor, P., Boyd, J., Lae, M., Reyal, F., & Walter, T. (2019). Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium On, 933–937. https://doi.org/10.1109/ISBI.2019.8759205
    • Chicago/Turabian: Author-Date:
      Naylor, Peter, Joseph Boyd, Marick Lae, Fabien Reyal, and Thomas Walter. 2019. “Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort.” 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium On, April, 933–37. doi:10.1109/ISBI.2019.8759205.
    • Harvard:
      Naylor, P. et al. (2019) ‘Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort’, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium on, pp. 933–937. doi: 10.1109/ISBI.2019.8759205.
    • Harvard: Australian:
      Naylor, P, Boyd, J, Lae, M, Reyal, F & Walter, T 2019, ‘Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort’, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium on, pp. 933–937, viewed 31 October 2020, .
    • MLA:
      Naylor, Peter, et al. “Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort.” 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium On, Apr. 2019, pp. 933–937. EBSCOhost, doi:10.1109/ISBI.2019.8759205.
    • Chicago/Turabian: Humanities:
      Naylor, Peter, Joseph Boyd, Marick Lae, Fabien Reyal, and Thomas Walter. “Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort.” 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium On, April 1, 2019, 933–37. doi:10.1109/ISBI.2019.8759205.
    • Vancouver/ICMJE:
      Naylor P, Boyd J, Lae M, Reyal F, Walter T. Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging (ISBI 2019), 2019 IEEE 16th International Symposium on [Internet]. 2019 Apr 1 [cited 2020 Oct 31];933–7. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.8759205