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Dergiler / European Journal of Breast Health / 2018 / Cilt: 14 - Sayı: 2

The Big Data Revolution for Breast Cancer Patients

Karl NEUBERGER
Issam IBNOUHSEİN
Stéphane JANKOWSKİ
Carole MATHELİN
Sayfa
61–62
Yayın Tarihi
2022-10-18
DOI
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Abstract

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Bu Makaleye Atıf Yap

NEUBERGER, K., IBNOUHSEİN, I., JANKOWSKİ, S., MATHELİN, C. (2022). The Big Data Revolution for Breast Cancer Patients. European Journal of Breast Health, Cilt: 14 - Sayı: 2, 61–62. https://ajindex.com/articles/510831

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Kaynakça (3)

  1. Committee on Applied and Theoretical Statistics; Board on Mathematical Sciences; Commission on Physical Sciences, Mathematics, and Applications; National Research Council, «Massive Data Sets: Proceedings of a Workshop», National Academy Press, 1996.
  2. Cox M, Ellsworth D. Application-controlled demand paging for out-ofcorevisualization. Proceedings of the 8th Conference on Visualization’97, 1997.
  3. Sabatier R, Finetti P, Cervera N, Lambaudie E, Esterni B, Mamessier E, Tallet A, Chabannon C, Extra JM, Jacquemier J, Viens P, Birnbaum D, Bertucci F. A gene expression signature identifies two prognostic subgroups of basal breast cancer. Breast Cancer Res Treat 2011; 126: 407- 420. (PMID: 20490655) [CrossRef ] Dheeba J, Singh NA, Selvi ST. Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach. J Biomed Inform 2014; 49: 45-52. (PMID: 24509074)[CrossRef ]