Discriminative Learning for Anatomical Structure Detection and Segmentation
نویسندگان
چکیده
Due to the increasing demand for more medical images in clinical practices for better assessment and diagnosis, medical image analysis has gained more importance than ever. In this chapter, we will focus on the subarea of anatomical structure detection and segmentation, which plays an important role in speeding up the diagnostic work flow. Although remarkable progresses have made in detecting and segmenting anatomical structures, it still confronts a lot of challenges to obtain results that can be used in clinical applications. This is mainly due to significant appearance variation present in the medical images caused by a multitude of factors:
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