Accumed International, Inc.

Monogen, Inc.

Oncometrics Imaging Corp.

S Alan Harrison

Calum E MacAulay

Branko Mihael Palcic

David M Garner

Bruno W Jaggi

Stephen C-t Lam

Peter William Payne

Alexei Doudkine

A method for detecting malignancy-associated changes. A sample of cells is obtained and stained to identify the nuclear DNA material. The sample is imaged with a digital microscope. Objects of interest are identified in the sample of cells based on the intensity of the pixels that comprise the object versus the average intensity of all pixels in the slide image. An exact edge is located for each object and variations in the illumination intensity of the microscope are compensated for. A computer system calculates feature values for each object and, based on the value of the features, a determination is made whether the cell exhibits malignancy-associated changes or not.

Method and apparatus for automatically detecting malignancy-associated changes

A system and method for detecting diagnostic cells and cells having malignancy-associated changes are disclosed. The system includes an automated classifier having a microscope, camera, image digitizer, a computer system for controlling and interfacing these components, a primary classifier for initial cell classification, and a secondary classifier for subsequent cell classification. The method utilizes the automated classifier to automatically detect diagnostic cells and cells having malignancy-associated changes. The system and method are particularly useful for detecting these cells in cell samples obtained from bronchial specimens such as lung sputum.

System and method for automatically detecting malignant cells and cells

Method and apparatus for automatically detecting malignancy-associated

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Vancouver, Canada

S Alan Harrison