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Image segmentation of 3D Computed Tomography Angiography (CTA) is affected by a variety of noise conditions that may render ineffective image segmentation procedures that have been developed and validated on a collection of training CTA data when applied on new CTA data. The approach followed in this paper to tackle this problem is to provide an Active Learning based interactive image segmentation...
The segmentation of lesion tissue in brain images of stroke patients serves to identify the extent of the affected tissues, to perform prognosis on its recovery, and to measure its evolution in longitudinal studies. The different regions of the lesion may have different imaging contrast properties in different image modalities, making difficult the automation of the segmentation process. In this paper...
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