38 research outputs found
Fast and robust semiautomatic liver segmentation with haptic interaction
Abstract. We present a method for semi-automatic segmentation of the liver from CT scans. True 3D interaction with haptic feedback is used to facilitate initialization, i.e., seeding of a fast marching algorithm. Four users initialized 52 datasets and the mean interaction time was 40 seconds. The segmentation accuracy was verified by a radiologist. Volume measurements and segmentation precision show that the method has a high reproducibility
The Fourteenth Amendment, the âRightâ to Vote, and the Understanding of the Thirty-Ninth Congress
If that history does not prove what I think it does, we are at least entitled to be told why
The teacherâs interests and priorities in natural science education : focus on the knowledge of species
Detta arbete undersöker hur intresset för naturkunskap pÄverkas av lÀrares prioriteringar av Àmnesstoffet. Fokus i detta arbete ligger pÄ lÀrarens instÀllning till artkunskap. Vi tittar ocksÄ nÀrmre pÄ hur naturundervisningen gÄr till och vad som kan ligga bakom lÀrarens val. Data i denna undersökning har inhÀmtats under intervjuer med sju lÀrare som undervisar i naturkunskap och/eller biologi antingen i grundskolans senare Är eller pÄ gymnasiet. Studien visar att naturundervisningen pÄverkas i mindre grad av lÀrarens eget intresse men dÀremot i hög grad av vad lÀrarna tror eleverna Àr intresserade av. Det finns en fara i att prioritera undervisningen efter elevers intresse, dÄ eleverna inte kan hÄllas ansvariga för konsekvenserna av dessa val. Det Àr inte lÀrarens huvuduppgift att göra lektionerna roliga, utan att ge eleverna en god demokratisk grund och insikt om hur deras egna handlingar pÄverkar dem sjÀlva och naturen omkring oss. LÀrare har ett stort ansvar över hur stoffet presenteras och vilka undervisningsmoment som lÀggs i fokus. LÀraren kan sedan lÀgga upp undervisningen efter elevernas individuella behov och dÀr bedriva en demokratisk verksamhet. Vi tror att ett större fokus pÄ artkunskap kan vÀcka elevernas engagemang för den biologiska mÄngfalden och i ett vidare perspektiv hÄllbar utveckling
Vuxna patienters upplevelse av kroppslig beröring : en litteraturstudie
Validerat; 20101217 (root
Surface area estimation of digitized 3D objects using weighted local configurations, Image and Vision Computing 23
Abstract. We describe surface area measurements based on local estimates of isosurfaces originating from a marching cubes representation. We show how improved precision and accuracy are obtained by optimizing the area contribution for one of the cases in this representation. The computations are performed on large sets (approximately 200,000 3D objects) of computer generated spheres, cubes, and cylinders. The synthetic objects are generated over a continuous range of sizes with randomized alignment in the digitization grid. Sphericity, a scale invariant measure of compactness, allows us, in combination with the improved surface area estimate, to distinguish among the test sets
Shape signatures of fuzzy star-shaped sets based on distance from the centroid
International audienc
2D Grey-level Skeleton Computation: A Discrete 3D Approach
A discrete 3D binary approach to compute the skeleton in 2D grey-level images is presented. The 2D grey-level input image is converted to a 3D binary image and the top surface of the foreground is identified. This discrete surface then undergoes skeletonization. The obtained 3D curve skeleton is pruned, before being projected back to a 2D grey-level image. This is suitably post-processed, since the projection may cause spurious loops and thickening. This algorithm can find applications in optical character recognition and document analysis or in other situations where shape analysis by skeletons is desired. An important property of the suggested method is that no hard segmentation into foreground and background is needed prior to the skeletonization