New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data.

Land WH Jr, Heine JJ, Raway T, Mizaku A, Kovalchuk N, Yang JY, Yang MQ

DOI: 10.1504/ijfipm.2008.020183
Published: 2008 Jan
Container: International journal of functional informatics and personalised medicine
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1504/ijfipm.2008.020183,
  title = {New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data.},
  author = {Land WH Jr and Heine JJ and Raway T and Mizaku A and Kovalchuk N and Yang JY and Yang MQ},
  year = {2008},
  journal = {International journal of functional informatics and personalised medicine},
  doi = {10.1504/ijfipm.2008.020183},
  url = {https://doi.org/10.1504/ijfipm.2008.020183}
}

RIS

TY  - JOUR
TI  - New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data.
AU  - Land WH Jr
AU  - Heine JJ
AU  - Raway T
AU  - Mizaku A
AU  - Kovalchuk N
AU  - Yang JY
AU  - Yang MQ
PY  - 2008
JO  - International journal of functional informatics and personalised medicine
DO  - 10.1504/ijfipm.2008.020183
UR  - https://doi.org/10.1504/ijfipm.2008.020183
ER  -

APA

Jr, L. W., JJ, H., T, R., A, M., N, K., JY, Y., & MQ, Y. (2008). New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data.. International journal of functional informatics and personalised medicine. https://doi.org/10.1504/ijfipm.2008.020183

Source records

pubmed · retrieved 2026-09-26T14:50:45.932Z