Dates: 2018 - 2019
Contact: lloret ifca.unican.es
Areas: healthcare
Tags: image classification , deep learning
Links:
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.