Automatic recognition of small cell carcinoma based on the self-organizing neural network

Bio-Medical Materials and Engineering

Volumn 14, Issue 2, 2004, Pages 175-184

  Li, Fangzhen ^a   Hu, Kuanghu ^a   Su, Wanfang ^a   Li, Shuyu ^a   Cai, Nian ^a   Huang, Zhiying ^b   Hu, Yingxiong ^c  

^a INSTITUTE OF BIOPHYSICS   (China)

^b Inst of TB and Thoracic Tumors   (China)

^c China Natl Software/Technol Co   (China)

Author keywords

Colorimetry; Mathematical morphology; Neural network; Recognition of SCC; SOFM

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER SOFTWARE; MORPHOLOGY; NEURAL NETWORKS; SELF ORGANIZING MAPS; TUMORS;

CELL CARCINOMA; NUCLEI;

CELLS;

ARTICLE; AUTOANALYSIS; CANCER DIAGNOSIS; COLORIMETRY; COMPUTER PROGRAM; LUNG SMALL CELL CANCER; MATHEMATICAL PARAMETERS; MEDICAL ASSESSMENT; NERVE CELL NETWORK; PARAMETER; PRIORITY JOURNAL; PUBLICATION; RANDOMIZATION; TRAINING; TREATMENT OUTCOME;

ADULT; AGED; ALGORITHMS; CARCINOMA, SMALL CELL; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUNG NEOPLASMS; LYMPHOCYTES; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 2542594046     PISSN: 09592989     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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