Diagnosis and prognosis of breast cancer by magnetic resonance spectroscopy of fine‐needle aspirates analysed using a statistical classification strategy

The aim was to develop robust classifiers to analyse magnetic resonance spectroscopy (MRS) data of fine‐needle aspirates taken from breast tumours. The resulting data could provide computerized, classification‐based diagnosis and prognostic indicators.

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