Automatic tumor-stroma separation in fluorescence TMAs enables the quantitative high-throughput analysis of multiple cancer biomarkers

PLoS ONE

Volumn 6, Issue 12, 2011, Pages

  Lahrmann, Bernd ^a,b   Halama, Niels ^a,b   Sinn, Hans Peter ^a   Schirmacher, Peter ^a,b   Jaeger, Dirk ^a   Grabe, Niels ^a,b  

^a UNIVERSITY HOSPITAL HEIDELBERG   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

KERATIN; TUMOR MARKER; BIOLOGICAL MARKER;

ACCURACY; ARTICLE; AUTOMATION; BREAST BIOPSY; CELL NUCLEUS; CLASSIFIER; CLINICAL ARTICLE; FLUORESCENCE; HUMAN; HUMAN TISSUE; IMAGE PROCESSING; IMMUNOHISTOCHEMISTRY; STROMA; SUPPORT VECTOR MACHINE; TISSUE MICROARRAY; TRIPLE NEGATIVE BREAST CANCER; TUMOR DIAGNOSIS; ALGORITHM; BIOLOGY; BREAST TUMOR; COMPUTER PROGRAM; DNA MICROARRAY; FLUORESCENCE MICROSCOPY; GENE EXPRESSION REGULATION; GENETICS; METABOLISM; METHODOLOGY; NEOPLASM; REPRODUCIBILITY; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; AUTOMATION; BIOLOGICAL MARKERS; BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMMUNOHISTOCHEMISTRY; MICROSCOPY, FLUORESCENCE; MODELS, STATISTICAL; MODELS, THEORETICAL; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; SOFTWARE; TUMOR MARKERS, BIOLOGICAL;

EID: 82555198138     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0028048     Document Type: Article

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