Immersive Image Mining in Cardiology

Xiaoqiang Liu; Henk Koppelaar; Ronald Hamers; Nico Bruining

doi:10.4018/978-1-59140-557-3.ch111

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Immersive Image Mining in Cardiology

Xiaoqiang Liu, Henk Koppelaar, Ronald Hamers, Nico Bruining

Source Title: Encyclopedia of Data Warehousing and Mining

DOI: 10.4018/978-1-59140-557-3.ch111

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Abstract

Buried within the human body, the heart prohibits direct inspection, so most knowledge about heart failure is obtained by autopsy (in hindsight). Live immersive inspection within the human heart requires advanced data acquisition, image mining and virtual reality techniques. Computational sciences are being exploited as means to investigate biomedical processes in cardiology.

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Immersive Image Mining in Cardiology

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