Ranked retrieval of segmented nuclei for objective assessment of cancer gene repositioning

BMC Bioinformatics

Volumn 13, Issue 1, 2012, Pages

  Cukierski, William J ^a,b,c   Nandy, Kaustav ^d   Gudla, Prabhakar ^d   Meaburn, Karen J ^e   Misteli, Tom ^e   Foran, David J ^a,b,c   Lockett, Stephen J ^d  

^a RUTGERS UNIVERSITY   (United States)

^b RUTGERS CANCER INSTITUTE OF NEW JERSEY   (United States)

^c UNIVERSITY OF MEDICINE AND DENTISTRY OF NEW JERSEY   (United States)

^d SAIC FREDERICK INC   (United States)

^e NATIONAL CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED ASSESSMENT; AUTOMATED METHODS; AUTOMATED MICROSCOPY; AUTOMATIC IDENTIFICATION; BINARY CLASSIFICATION; BIOMEDICAL APPLICATIONS; BREAST CANCER; BREAST CANCER CELLS; CANCER GENES; CELL MORPHOLOGY; FLUORESCENCE IN SITU HYBRIDIZATION; GENE COPY NUMBER; HIGH-THROUGHPUT; LOGISTIC REGRESSIONS; MANUAL MEASUREMENTS; NUCLEAR PERIPHERY; OBJECTIVE ASSESSMENT; PEARSON CORRELATION COEFFICIENTS; QUANTITATIVE IMAGE ANALYSIS; RANKED RETRIEVAL; RECEIVER OPERATING CHARACTERISTIC CURVES; RELATIVE POSITIONS; SAMPLE PREPARATION; SATISFACTORY SOLUTIONS; SEGMENTATION ACCURACY; SEGMENTATION ALGORITHMS; SEGMENTATION ERROR; SEGMENTED OBJECTS; STATISTICAL COMPARISONS; STATISTICAL SIGNIFICANCE; TISSUE MICROARRAYS; TISSUE SAMPLES; TISSUE SECTIONS;

AUTOMATION; CORRELATION METHODS; DATA REDUCTION; DISEASES; FISH; FLUORESCENCE MICROSCOPY; IMAGE ANALYSIS; IMAGE SEGMENTATION; LOGISTICS; MEDICAL APPLICATIONS; POSITION MEASUREMENT; REGRESSION ANALYSIS; TISSUE;

GENES;

ALGORITHM; ARTICLE; BREAST TUMOR; CELL NUCLEUS; FEMALE; FLUORESCENCE IN SITU HYBRIDIZATION; GENETICS; HUMAN; IMAGE PROCESSING; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL MODEL; TUMOR GENE; ULTRASTRUCTURE; VALIDATION STUDY;

ALGORITHMS; BREAST NEOPLASMS; CELL NUCLEUS; FEMALE; GENES, NEOPLASM; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IN SITU HYBRIDIZATION, FLUORESCENCE; LOGISTIC MODELS; ROC CURVE;

EID: 84866050950     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-232     Document Type: Article

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