Automated Analysis of Multi-Modal Medical Data using Deep Belief Networks

Automated Analysis of Multi-Modal Medical Data using Deep Belief Networks

Recently, magnetic resonance and ultrasound imaging have found utility as adjuncts to mammography in the detection and management of breast cancer. This project will develop novel machine learning techniques that optimally integrate information from each of these data sources so as to improve the efficiency and accuracy of breast cancer diagnosis.

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