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Volumn 5, Issue 2, 2001, Pages 138-149

A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections

Author keywords

Fluorescence microscopy; Functional proteomics; Object detection; Shape recognition

Indexed keywords

DIAGNOSIS; FLUORESCENCE; IMAGE PROCESSING; LEARNING ALGORITHMS; MEDICAL IMAGING; NEUROPHYSIOLOGY; TISSUE; TOPOLOGY;

EID: 0035354249     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/4233.924804     Document Type: Article
Times cited : (73)

References (36)
  • 22
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • (1982) Biol. Cybern. , vol.43 , pp. 59-69
  • 34
    • 0027457620 scopus 로고
    • Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine
    • (1993) Clin. Chem. , vol.39 , Issue.4 , pp. 561-577
    • Zweig, H.M.1    Campbell, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.