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Volumn 23, Issue 4, 2001, Pages 257-267

Mathematical morphologic segmentation dedicated to quantitative immunohistochemistry

Author keywords

Breast neoplasms; Image analysis, computer assisted; Image segmentation; Immunostaining; Mathematical morphology

Indexed keywords

ARTICLE; AUTOMATION; BREAST CARCINOMA; CANCER CELL; HUMAN; HUMAN CELL; IMAGE ANALYSIS; IMMUNOHISTOCHEMISTRY; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; QUALITY CONTROL; QUANTITATIVE ASSAY;

EID: 0034881752     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (27)
  • 3
    • 0030906730 scopus 로고    scopus 로고
    • Generalized region growing operator with optimal scanning: Application to segmentation of breast cancer images
    • (1997) J Microsc , vol.186 , pp. 41-50
    • Belhomme, P.1
  • 5
  • 9
    • 0028708105 scopus 로고
    • Quantitative immunohistochemical assay for hormonal receptors, technical aspects and biological signifiance
    • (1994) J Cell Biochem (suppl) , vol.19 , pp. 138-145
    • Esteban, J.M.1
  • 25
    • 0030763734 scopus 로고    scopus 로고
    • Application of automatic thresholding in image analysis scoring of cells in human solid tumors labeled for proliferation markers
    • (1997) Cytometry , vol.29 , pp. 128-135
    • Weaver, J.R.1    Au, J.L.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.