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DIGITAL BIOMARKER SEARCH ENGINE

Customers Bring Us In When:

Converting image derived visual cues into classifiers with acceptable performance is challenging.

Visual cues to build classification algorithms with acceptable performance are lacking.

Algorithm complexity is making troubleshooting and measured improvements difficult.

Algorithm performance is too situational and performance degrades with broader deployment.

Gaining regulatory approvals for complex Artificial Neural Networks is a commercial limitation.

Contiguity combines advanced image analysis with a flexible analytics engine. We do this to create predictive multivariate classification algorithms and easy to use classification applications. These custom developed applications can be used for the rapid and precise identification of conditions represented by images generated by your future business processes.

What Makes Us Different:

The Contiguity team adds new information through our image analysis process that extracts non-obvious features from images. These features are then used to build Multivariate Classification Algorithms and support Ensemble Learning approaches which can be more accurate and precise than currently possible.

We’re a team of scientists and engineers with deep IVD and Medical Device R&D experience working to develop new classification capabilities using image based biomarkers.

We have created our own research grade software that is purpose built to discover biomarkers and to consider all combinations that may meet predetermined classification performance goals.

Clients working with Contiguity can expect to achieve new capabilities that will support premium products and services that their customers will value

Company’s Keywords:

contract rd, image classification, contract rampd, image analysis, custom applications

Q How Many Employees Does This Company Have?

0

Q Which Industry Does This Company Belong To?

medical devices

Q What Is the Annual Income?

Q What Is the Technology of All the Company’s Website?

Q What Year Was the Company Founded?

2016

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