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NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation
Kristine Sørensen, Oscar Camara, Ole de Backer +2
Medical image segmentation is often considered as the task of labelling each pixel or voxel as being inside or outside a given anatomy. Processing the images at their original size…
CNN-based fully automatic mitral valve extraction using CT images and existence probability maps
Yukiteru Masuda, Ryo Ishikawa, Toru Tanaka +8
Accurate extraction of mitral valve shape from clinical tomographic images acquired in patients has proven useful for planning surgical and interventional mitral valve treatments.…
Guiding 3D U-nets with signed distance fields for creating 3D models from images
Kristine Aavild Juhl, Rasmus Reinhold Paulsen, Anders Bjorholm Dahl +4
Morphological analysis of the left atrial appendage is an important tool to assess risk of ischemic stroke. Most deep learning approaches for 3D segmentation is guided by binary la…