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Volumn , Issue , 2009, Pages 1023-1026

Automated analysis of human protein atlas immunofluorescence images

Author keywords

Feature selection; Image classification; Location proteomics; Machine learning; Microscopy

Indexed keywords

AUTOMATED ANALYSIS; AUTOMATED APPROACH; AUTOMATED LEARNING; CELL MARKERS; CLASSIFICATION FRAMEWORK; FEATURE SELECTION; HIGH DEGREE OF ACCURACY; HUMAN PROTEINS; LOCATION PROTEOMICS; MACHINE LEARNING; MICROSCOPY; RANDOM FORESTS; SUB-CELLULAR; SUBCELLULAR LOCATION;

EID: 70449361696     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2009.5193229     Document Type: Conference Paper
Times cited : (29)

References (12)
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  • 3
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    • Velliste, M.1    Murphy, R.F.2
  • 7
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    • Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images
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    • Robust numerical features for description and classification of subcellular location patterns in fluorescence microscope images
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    • Huang, K.1    Velliste, M.2    Murphy, R.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.