Abstract Title

Image Training Data Selector for FireMAP* and Prostate Smears

Disciplines

Biodiversity | Biomedical | Data Storage Systems | Forest Management | Medical Pathology

Abstract

The Training Data Selector (TDS) allows a user to select training data that can then be used to train a supervised classifier. The classifier can categorize additional data based upon the user’s selection with this web based tool, providing accurate training data for analytics as diverse as wildland fire management and pathology. The TDS allows the user to draw on data in any web browser, label that data, and then extract and export the pixel data. This application utilizes human expertise without compromising computer processing power.

As well as providing a quick and clean solution to extracting information from data to be used in various supervised classifiers, the TDS application was built and designed for users who are inexperienced with computer applications and therefore provides a simple, easy, and intuitive interface for all users on all platforms. The TDS provides the greatest flexibility, power, and availability to extract the selected data the user chooses for training a supervised classifier.

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Poster #Th52

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Image Training Data Selector for FireMAP* and Prostate Smears

The Training Data Selector (TDS) allows a user to select training data that can then be used to train a supervised classifier. The classifier can categorize additional data based upon the user’s selection with this web based tool, providing accurate training data for analytics as diverse as wildland fire management and pathology. The TDS allows the user to draw on data in any web browser, label that data, and then extract and export the pixel data. This application utilizes human expertise without compromising computer processing power.

As well as providing a quick and clean solution to extracting information from data to be used in various supervised classifiers, the TDS application was built and designed for users who are inexperienced with computer applications and therefore provides a simple, easy, and intuitive interface for all users on all platforms. The TDS provides the greatest flexibility, power, and availability to extract the selected data the user chooses for training a supervised classifier.