A robust automatic nuclei segmentation technique for quantitative histopathological image analysis

Analytical and Quantitative Cytology and Histology

Volumn 34, Issue 6, 2012, Pages 296-308

  Lu, Cheng ^a   Mahmood, Muhammad ^b   Jha, Naresh ^a   Mandal, Mrinal ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Adaptive thresholding; Computerassisted image analysis; Histopathological image analysis; Nuclei segmentation; Skin histopathological image

Indexed keywords

ACCURACY; ARTICLE; CELL NUCLEUS; CLINICAL EVALUATION; EPIDERMIS; HISTOPATHOLOGY; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; NONHUMAN; NUCLEI SEGMENTATION; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY; ARTIFACT; BIOLOGICAL MODEL; COMPARATIVE STUDY; IMAGE PROCESSING; METHODOLOGY; NUCLEAR SHAPE; PATHOLOGY; REPRODUCIBILITY; SKIN DISEASE; STANDARD;

ARTIFACTS; CELL NUCLEUS; CELL NUCLEUS SHAPE; EPIDERMIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; PATHOLOGY, CLINICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN DISEASES;

MLCS; MLOWN;

EID: 84873125154     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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