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

We report on preliminary investigations of the use of an image analysis system to perform preliminary algorithmic classification of images of fluorochrome‐labeled cells followed by capture of gray‐level images of potentially abnormal cells for analysis by a neural network. Cells were labeled with an...

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Veröffentlicht in:	Cytometry (New York, N.Y.) N.Y.), 1997-01, Vol.27 (1), p.36-42
Hauptverfasser:	Hurst, Robert E., Bonner, Rebecca Bass, Ashenayi, Kaveh, Veltri, Robert W., Hemstreet, George P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Antigens, Neoplasm - analysis Biomarkers, Tumor - analysis bladder cancer False Positive Reactions fluorescence Humans image analysis Image Processing, Computer-Assisted - methods M344 Microscopy, Fluorescence - methods neural network Neural Networks (Computer) quantitative cytology Urinary Bladder Neoplasms - chemistry Urinary Bladder Neoplasms - diagnosis
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