Diagnosis of breast cancer with infrared spectroscopy from serum samples

Vibrational Spectroscopy

Volumn 52, Issue 2, 2010, Pages 173-177

  Backhaus, Juergen ^a   Mueller, Ralf ^a   Formanski, Natalia ^a   Szlama, Nicole ^a   Meerpohl, Hans Gerd ^b   Eidt, Manfred ^b   Bugert, Peter ^c  

^a MANNHEIM UNIVERSITY OF APPLIED SCIENCES   (Germany)

^b Klin F Anaesthesie Oper I   (Germany)

^c Institute of Transfusion Medicine and Immunology   (Germany)

Author keywords

Artificial neural networks; Breast cancer; Cluster analysis; FT IR spectroscopy; Serum samples; Typical fingerprint

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BREAST CANCER; CANCER DISEASE; CLASSIFICATION METHODS; CORRECT GROUP; EVALUATION TOOL; IDENTIFICATION SYSTEMS; IR-SPECTROSCOPY; RAPID METHOD; SERUM SAMPLES;

BODY FLUIDS; CLUSTER ANALYSIS; DIAGNOSIS; INFRARED SPECTROSCOPY; NEURAL NETWORKS; SPACECRAFT INSTRUMENTS;

SPECTRUM ANALYSIS;

EID: 76849095302     PISSN: 09242031     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.vibspec.2010.01.013     Document Type: Article

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