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A hybrid approach to breast cancer diagnosis

chapter
posted on 2023-06-07, 14:16 authored by M. Sordo, Hilary Buxton, Des Watson
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History

Publication status

  • Published

Publisher

Kluwer Academic Publishers

Volume

16

Page range

299-330

Pages

400.0

Book title

Practical Applications of Computational Intelligence Techniques

Place of publication

Norwell, MA, USA

ISBN

07923-7320-0

Series

International Series in Intelligent Technologies

Department affiliated with

  • Informatics Publications

Notes

Originality: This was a novel application of KBANN technology to the analysis of 31P MR spectroscopy of breast tumours. Significance: Multidisciplinary - combining AI/computer science with clinical MR spectroscopy/patient diagnosis and care. Rigour: It was practical approach using a real clinical dataset and significant and useful results were obtained. Impact: Showed how KBANN's could be used to analyse complex clinical data, without making use of biochemical knowledge in the interpretation of the MR spectra, thus highlighting specific metabolites in the spectra that could have a specific role in the diagnosis of breast cancer. Biochemists have since used this information about new significant metabolites to support their analysis of tumour spectra.

Full text available

  • No

Peer reviewed?

  • Yes

Editors

Lakhmi Jain, Philippe De Wilde

Legacy Posted Date

2007-08-20

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