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Titlebook: Medical Image Understanding and Analysis; 21st Annual Conferen María Valdés Hernández,Víctor González-Castro Conference proceedings 2017 Sp

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A Novel Technique for Splat Generation and Patch Level Prediction in Diabetic Retinopathy. Each segment, i.e., splat, contains pixels with similar color and spatial location. A novel method for automated generalised generation of splat is presented in this paper and further marking of the diseased splats is also proposed. The proposed method is tested on DIARETDB1 dataset, achieving acc
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Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Imagesstage based on histogram analysis of the content of the segmented GS. The second level segmentation is used after that to detect the YS and extract its relevant size measurements. A trained neural network classifier is employed to perform the segmentation at both levels. The effectiveness of the pro
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Comparison of Automatic Vessel Segmentation Techniques for Whole Body Magnetic Resonance Angiographyed segmentation of arteries in large WBMRA datasets, where ground truth data is often limited and there are currently no pre-trained 3D Convnet models available, requiring models to be trained from scratch. To the best of our knowledge this is the first comparison of these automated vessel segmentat
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Cardiac Mesh Reconstruction from Sparse, Heterogeneous Contoursent of our method was performed on synthetic data obtained from a mean cardiac shape model as well as on clinical data belonging to one normal subject and one affected by hypertrophic cardiomyopathy. Our method is both used on epicardial and endocardial left ventricle surfaces, but as well as on the
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