Neural net-based identification of cells expressing the p300 tumor-related antigen using fluorescence image analysis

Cytometry

Volumn 27, Issue 1, 1997, Pages 36-42

  Hurst, Robert E ^a   Bonner, Rebecca Bass ^a   Ashenayi, Kaveh ^b   Veltri, Robert W ^c   Hemstreet III, George P ^a,d  

^a UNIVERSITY OF OKLAHOMA COLLEGE OF MEDICINE   (United States)

^b The University of Tulsa Tulsa   (United States)

^c UroCor Incorporated   (United States)

^d UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

bladder cancer; fluorescence; image analysis; M344; neural network; quantitative cytology

Indexed keywords

TUMOR ANTIGEN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BLADDER CANCER; CONTROLLED STUDY; HUMAN; HUMAN CELL; IMAGE ANALYSIS; IMMUNOFLUORESCENCE; PRIORITY JOURNAL;

ANTIGENS, NEOPLASM; FALSE POSITIVE REACTIONS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, FLUORESCENCE; NEURAL NETWORKS (COMPUTER); TUMOR MARKERS, BIOLOGICAL; URINARY BLADDER NEOPLASMS;

EID: 0031036985     PISSN: 01964763     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0320(19970101)27:1<36::AID-CYTO5>3.0.CO;2-J     Document Type: Article

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