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Mark R Rutenberg: Neural network based automated cytological specimen classification system and method. Nueromedical Systems, Renner Otto Boisselle & Sklar, October 23, 1990: US04965725 (188 worldwide citation)

An automated screening system and method for cytological specimen classification in which a neural network is utilized in performance of the classification function. Also included is an automated microscope and associated image processing circuitry.


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Mark R Rutenberg, Thomas L Hall, Robert Domes, Richard Chaban, Thomas Dulak, James M Herriman, John Porzio, Randall L Luck, James Knapp: Automated cytological specimen classification system and method. Neuromedical Systems, Renner Otto Boisselle & Sklar, February 15, 1994: US05287272 (175 worldwide citation)

An automated screening system and method for cytological specimen classification in which a neural network is utilized in performance of the classification function. Also included is an automated microscope and associated image processing circuitry.


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Mark R Rutenberg, Thomas L Hall: Automated cytological specimen classification system and method. AutoCyte North Carolina L L C, Alston & Bird, December 4, 2001: US06327377 (94 worldwide citation)

An automated screening system and method for cytological specimen classification in which a neural network is utilized in performance of the classification function. Also included is an automated microscope and associated image processing circuitry.


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Mathilde E Boon, Lanbrecht P Kok, Laurie J Mango, Akiva Rutenberg, Mark R Rutenberg: Automated specimen classification system and method. Neuromedical Systems, Renner Otto Boisselle & Sklar PLL, August 13, 1996: US05544650 (78 worldwide citation)

A semi-automated method of classifying a histological specimen for the presence of premalignant or malignant cells, including the steps of treating a specimen with an immunohistochemical marker to provide a visual indication of cell proliferation, ranking individual objects in the specimen in an ord ...


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Mark R Rutenberg, Thomas L Hall: Automated cytological specimen classification system and method. Neuromedical Systems, Renner Otto Boisselle & Sklar P L L, April 14, 1998: US05740270 (60 worldwide citation)

A method of determining the reliability of a cytological screening test including the steps of viewing at least part of a cytological specimen, creating an image of the view, producing a digital representation of the image, ranking objects in the digital representation based on the degree to which e ...


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Mark R Rutenberg: Inspection apparatus and method with inspection auditing for images presented on a display. Neuromedical Systems, July 26, 1994: US05333207 (54 worldwide citation)

A method of checking a process of individually inspecting successive sets of one or more images displayed on a screen, includes the steps of displaying at least one predetermined image having at least one area of interest for which inspection is to be performed, temporarily preventing a new set of a ...


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Mark R Rutenberg, Robert Tjon Fo Sang, Leonid Strinkovsky, Laurie J Mango, James C Herriman: Device and method for facilitating inspection of a specimen. Neuromedical Systems, Renner Otto Boisselle & Sklar, August 5, 1997: US05655029 (44 worldwide citation)

A device for the visual inspection of a specimen, comprising a first microscope for obtaining a magnified view of different areas of a specimen, a display monitor for displaying images of at least a subset of the different areas of the specimen, selection means for enabling the selection of a image ...


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Mathilde Elisabeth Boon, Lanbrecht Piet Kok, Laurie J Mango, Akiva Rutenberg, Mark R Rutenberg: Automated histological specimen classification system and method. Neuromedical Systems, Renner Otto Boisselle & Sklar P L L, August 17, 1999: US05939278 (32 worldwide citation)

A semi-automated method of classifying a histological specimen for the presence of premalignant or malignant cells, including the steps of treating a specimen with an immunohistochemical marker to provide a visual indication of cell proliferation, ranking individual objects in the specimen in an ord ...


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Mark R Rutenberg: System integrated fault-tree analysis methods (SIFTAN). ITT Corporation, Thomas N Twomey, Mary C Werner, September 26, 1989: US04870575 (25 worldwide citation)

The subject invention employs a system integrated fault-tree analysis (SIFTAN) which has the unique ability to detect all latent hardware and software design defects that could cause unanticipated critical failure of a complex software controlled electronic system. This new approach modifies and the ...


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