Image processing to improve diagnosis and therapy via machine learning techniques
Maria Francesca Spadea
Assistant professor of biomedical engineer, University Magna Graecia of Catanzaro
DEIB - BIO1 Room (builiding 21, first floor)
May 16th, 2018
5.00 pm
Contacts:
Elena De Momi
Research Line:
Technologies for diagnosis, therapy and rehabilitation
Assistant professor of biomedical engineer, University Magna Graecia of Catanzaro
DEIB - BIO1 Room (builiding 21, first floor)
May 16th, 2018
5.00 pm
Contacts:
Elena De Momi
Research Line:
Technologies for diagnosis, therapy and rehabilitation
Abstract
The interest in medical image processing has increased in the last decades thanks to the large availability of patient image data and computational resources. Machine learning and deep learning techniques have shown their potentiality to accurately detect, recognize and classify image features to support diagnosis and therapy. During the seminar some of the activities carried out in this field, by people working at ImagEngLab (University Magna Graecia of Catanzaro), will be presented. The talk is mainly addressed to Master and PhD students of biomedical engineering and computer science.
Short Bio
Dr. Maria Francesca Spadea is assistant professor of biomedical engineer at University Magna Graecia of Catanzaro and she is visiting scientist at the German Cancer Institute (DKFZ) in Heidelberg (Germany). Her main research field is image processing for image guided surgery/therapy, with particular emphasis on image guided radiotherapy. She collaborates with several renowned worldwide clinical and research institutions.