A hybrid approach to breast cancer diagnosis
chapter
posted on 2023-06-07, 14:16 authored by M. Sordo, Hilary Buxton, Des WatsonNo description supplied
History
Publication status
- Published
Publisher
Kluwer Academic PublishersVolume
16Page range
299-330Pages
400.0Book title
Practical Applications of Computational Intelligence TechniquesPlace of publication
Norwell, MA, USAISBN
07923-7320-0Series
International Series in Intelligent TechnologiesDepartment 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 WildeLegacy Posted Date
2007-08-20Usage metrics
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