Our experience in:

Computer Vision

Computer Vision Receipt Parser

Computer vision model that takes in an image of a receipt and outputs an itemization of all charges, each tagged with relevant item categories. To make this work properly, we needed to create a custom pipeline comprised of many deep neural networks. The first model performed object recognition, passed the output to an OCR model, then a model that we trained to understand receipt geometry, and a finally an NLP model that performed classification on the types of charges.

Computer Vision for Cancer Diagnosis

This system intakes 3 view mammogram scans of breast tissue and outputs the risk factors associated with the images. It improves on the current clinical accuracy of risk assessment by more than 10% in the majority demographic (caucasian women) and up to 60% improvement in the case of minority demographics. We adapted just released research into a production grade AI system and helped oversee and advise the process for technology acceptance by the FDA.

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