Dr Ahmad Chaddad -  Deep radiomic analysis for personalized medicine (venia legendi)
 

Klipi teostus: Ahti Saar 04.04.2019 552 vaatamist Arvutiteadus


Abstract: Radiomic analysis is a noninvasive technique for characterizing tumor lesions in terms of image texture signatures. It can be integrated into almost any clinical study involving image data, and thus has the potential to become an essential tool for diagnosis, treatment and follow-up of patient diseases. This talk will present my research in radiomic analysis, feature extraction techniques (gray level co-occurrence matrices, linear filters, wavelets, deep convolution neural networks, etc.), machine learning, and applications to tumor grading, prognosis and genomic profiling.