Chest X-ray classifier

Dates: 2018 - 2019

Contact: lloret

Areas: healthcare

Tags: image classification , deep learning


The aim of this project is to improve classification speed and accuracy of chest X-ray images. In the current state of health alarm, due to the saturation of the medical systems, professionals with no x-ray experience are being forced to interpret the chest images. Under these circumstances, a reliable automatic triage system to assist diagnosis is needed. The developed tools will be equally applicable to other diseases with pneumonia. The training dataset will be composed of patient X-ray images available from the hospital Marqués de Valdecilla.

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