PhD defence J. (Jiahang) Su

Below is a brief summary about the dissertation:

In the last few years, the blooming of learning based methods has brought reincarnation to the medical image analysis field. Classical methods were rapidly replaced by many kinds of learning based methods. This thesis has explored biomarker extraction methods and applications in ischemic stroke. Such biomarkers may be used in treatment decision making. The first chapters of this thesis focuses on collateral scoring, including model design, the assessment of model performance and the clinical use of the automatic collateral scoring method. In of the last chapters this thesis, a general post-processing method that improves binary segmentation results for the tubular structure was discussed, and a method that extracts the anterior trees from CTA images was developed and thoroughly assessed.