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London Health Sciences Centre Research Inc.

London Health Science Center Research Inc.

Aaron Devin Ward

Suresh Senan

John Geoffrey Pickering

Sarah Mattonen

Yi Wen Xu

David Palma

A fully automated method for detecting and measuring a target of interest such as vasculature, capable of processing whole slide images and extracting large number of targets of interest per slide. The method includes the steps of: (a) obtaining a digital image of a tissue specimen; (b) using a first set of mathematical algorithms based on objectively-defined criteria to isolate the one or more targets of interest from the slide, thereby detecting the one or more targets of interest; and (c) using a second set of mathematical algorithms based on objectively-defined criteria to construct boundaries around the detected targets of interest and obtain quantitative attributes of these one or more targets throughout the slide, thereby measuring the one or more targets.

Automated segmentation of histological sections for vasculature quantification

A method for analyzing three-dimensional image data of a target region of a subject, the method comprising identifying a region of interest within the target region containing imaging information predictive of a disease state of the target region, calculating at least two radiomic features associated with the region of interest, and classifying the region of interest based on the calculated radiomic features.

Method and apparatus for analyzing three-dimensional image data of a target region of a subject

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London, Canada

Aaron Devin Ward