Automated REcognition of Tissue-associated Erythrocytes (ARETE)-a new tool in tissue cytometry

Cytometry Part A

Volumn 83 A, Issue 4, 2013, Pages 363-374

  Heindl, Andreas ^a,b   Seewald, Alexander K ^b   Thalhammer, Theresia ^a   Bises, Giovanna ^a   Schepelmann, Martin ^a,c   Uhrova, Hana ^a   Dekan, Sabine ^a   Mesteri, Ildiko ^a   Rogojanu, Radu ^d   Ellinger, Isabella ^a  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b Seewald Solutions   (Austria)

^c CARDIFF UNIVERSITY   (United Kingdom)

^d TissueGnostics GmbH   (Austria)

Author keywords

Autofluorescence; Automated image analysis; Boosted decision trees of Haar like features; Colorectal cancer; Erythrocytes; Immunofluorescence microscopy; Machine learning; Placenta; Tissue cytometry

Indexed keywords

BIOLOGICAL MARKER; CYTOKERATIN 8; KI 67 ANTIGEN; MITOGEN ACTIVATED PROTEIN KINASE; MOK PROTEIN, HUMAN; TUMOR ANTIGEN;

ARTICLE; CHEMISTRY; COLON; COMPUTER PROGRAM; CYTOLOGY; DECISION TREE; EQUIPMENT; ERYTHROCYTE; FEMALE; FLUORESCENCE; GENE EXPRESSION; GENETICS; HUMAN; IMAGE CYTOMETRY; METABOLISM; METHODOLOGY; PLACENTA; PREGNANCY; SENSITIVITY AND SPECIFICITY; ULTRASTRUCTURE;

ANTIGENS, NEOPLASM; BIOLOGICAL MARKERS; COLON; DECISION TREES; ERYTHROCYTES; FEMALE; FLUORESCENCE; GENE EXPRESSION; HUMANS; IMAGE CYTOMETRY; KERATIN-8; KI-67 ANTIGEN; MITOGEN-ACTIVATED PROTEIN KINASES; PLACENTA; PREGNANCY; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 84875503604     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22258     Document Type: Article

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