Image analysis and artificial intelligence

In recent years, medical images are starting to be considered not just as pictures intended for visual interpretation, but also as mineable data to be used to develop models that may potentially improve detection and diagnostic accuracy. From simple image measurements to complex tissue and tumor pattern characterization, medical image analysis can assist radiologists in image reviewing and in clinical decision-making, potentially becoming an important part of the diagnostic process. Within our research group, we are developing image analysis and machine learning algorithms for image segmentation, pattern recognition, and computer-aided diagnosis that can be used to identify imaging biomarkers and improve clinical performance for both diagnosis and treatment response characterization.


Projects

Automated breast cancer detection and characterization in dedicated breast CT imaging
Automated breast cancer detection and characterization in dedicated breast CT imaging Quantitative image analysis and machine learning have been successful in classifying images with considerable complexity into several different classes. More...
Image Analysis of High-Resolution CT Cochlea Images
Image Analysis of High-Resolution CT Cochlea Images A cochlear implant is a surgically implanted electronic device that provides a sense of sound to a person with severe to profound hearing loss. More...